D2.13 Industry TE dossier of non R&I changes/trends (Year II)
WP2 - R&I state of the art
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Document information and history
Information Table GA Number ACS3-GA-2013-605497
Project Acronym CATER
Project Coordinator Finmeccanica
Document Title D2.13 - Industry TE dossier of non R&I changes/trends (Year II)
Document Type R = Report
Dissemination Level PU = Public
Document history Document log
Issue Date Comment Author
00.01 04/03/2016 Document circulated for review (internal to the project) Milan Djilas, ALTRAN
00.02 Internal revision of the document Saso Jezernik, ALTRAN
01.00 16/03/2016 Final version of the document Milan Djilas, ALTRAN
01.01 16/03/2016 Final check as WP leader Marco Molica Colella,
CTECH
Final 16/03/2016 Approved By Coordinator Giuliano D’Auria
(Finmeccanica)
Document Change Record
Issue Item Reason for change
none
Lead beneficiary and Contributors
Lead beneficiary CTECH
Contributors Milan Djilas, ALTRAN
Marco Molica Colella, CTECH (WP leader)
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Contents
Document information and history ............................................................................... 2
Information Table ..............................................................................................................................................2
Document history ...............................................................................................................................................2
Lead beneficiary and Contributors ..................................................................................................................2
1 Abstract ...................................................................................................................... 6
1.1 Intellectual Property Rights ........................................................................................................................6
1.2 Acronyms ...................................................................................................................................................7
2 Introduction ............................................................................................................... 8
3 Results from Current Period ................................................................................... 8
3.1 Air Transport Time Efficiency-General .....................................................................................................9
3.1.1 Delay assignment optimization strategies at pre-tactical and tactical levels ........................................................................ 9
3.1.2 TREE model: a tool to explore delay reduction scenarios in the ECAC area ...................................................................... 9
3.1.3 Delay propagation – new metrics, new insights ................................................................................................................... 9
3.1.4 A micro view to en-route delays ........................................................................................................................................ 10
3.1.5 easyJet places artificial intelligence at the heart of its growth and customer plans ............................................................ 10
3.1.6 JetBlue startup lab sets sights on IoT, artificial intelligence, big data, virtual reality and machine learning ..................... 10
3.1.7 American Airlines teams up with Uber for door to door travel .......................................................................................... 11
3.1.8 Air traffic delay statistics ................................................................................................................................................... 11
3.1.9 Self-healing structures could reduce maintenance ............................................................................................................. 11
3.1.10 Aeromobil flying car .......................................................................................................................................................... 11
3.1.11 Personal aircraft designed so that anyone can fly .............................................................................................................. 12
3.1.12 Global warming may increase flight times......................................................................................................................... 12
3.1.13 Boeing shows off cabin bins that hold 50% more cases ..................................................................................................... 12
3.1.14 Website provides flight statistics for US flights ................................................................................................................. 12
3.1.15 First commercial electric aircraft ....................................................................................................................................... 12
3.1.16 Performance based navigation reduces approach time by 7.5 minutes .............................................................................. 13
3.2 Air Transport Time Efficiency-ATM .......................................................................................................13
3.2.1 A Review of the Next Generation Air Transportation System ........................................................................................... 13
3.2.2 Next generation air traffic technology goes live at NATS Prestwick ................................................................................. 14
3.2.3 ATM efficiency can be found in Skyfusion cloud ............................................................................................................. 14
3.2.4 Brisbane airport implements measures to increase on-time performance .......................................................................... 15
3.2.5 Equivalent Lateral Spacing Operations helps reduce taxi times......................................................................................... 15
3.2.6 Wake Recategorization in the US increases capacity and reduces taxi-out times .............................................................. 16
3.2.7 IRIS PROGRAMME FOR AIR TRAFFIC MANAGEMENT .......................................................................................... 16
3.2.8 Airports test unmanned traffic control towers .................................................................................................................... 17
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3.2.9 Trial aims to cut Heathrow holding times .......................................................................................................................... 17
3.3 Air Transport Time Efficiency – Airports ................................................................................................18
3.3.1 Eezeetags Ensure a Stress-Free Self-Service Bag-Drop Experience .................................................................................. 18
3.3.2 Reducing Departure Delays at LaGuardia Airport with Departure-Sensitive Arrival Spacing (DSAS) Operations .......... 18
3.3.3 Airlines look to the promise of the ‘internet of things’ ...................................................................................................... 19
3.3.4 Optimizing Integrated Arrival, Departure and Surface Operations under Uncertainty ...................................................... 19
3.3.5 Biometric technology is enabling the seamless travel ........................................................................................................ 20
3.3.6 Allow passengers mote travel options through self-connecting flights .............................................................................. 20
3.3.7 IATA baggage tracking resolution 753 .............................................................................................................................. 20
3.3.8 RFID Baggage Handling Pilot project completed .............................................................................................................. 21
3.3.9 Reduced Manual Handling of Transfer Bags with Video Coding System ......................................................................... 22
3.3.10 ANA unveils Japan’s first self-service baggage-drop system ............................................................................................ 22
3.3.11 E-services at Athens International inform passengers of flight information ...................................................................... 22
3.3.12 Cutting down runway queues ............................................................................................................................................. 22
3.3.13 Toward a More Realistic, Cost-Effective, and Greener Ground Movement through Active Routing ................................ 23
3.3.14 Technological platform to increase efficiency at Lisbon Airport ....................................................................................... 24
3.3.15 Airport employees get Apple watches for more efficient operations ................................................................................. 24
3.3.16 Smart watch boarding passes are become more common among airlines .......................................................................... 24
3.3.17 Miami International Airport launches app to provide passengers personalized updates .................................................... 25
3.3.18 An Integrated Scheduling and Operations Approach to Airport Congestion Mitigation .................................................... 25
3.3.19 Capacity Planning Based on Scenario Tree and Passenger Motion Equation .................................................................... 26
3.3.20 An integrated optimization approach to airport ground operations to foster sustainability in the aviation sector .............. 26
3.3.21 Brazil airport uses new technology to expedite border control .......................................................................................... 27
3.3.22 Airport of the Future Project .............................................................................................................................................. 27
3.3.23 CASRA is involved in several research projects on X ray imaging for airport security .................................................... 28
3.3.24 Brussels airport implements planning tool to optimize stand and gate capacity ................................................................ 28
3.3.25 SITA- Self-service mobile boarding pass .......................................................................................................................... 28
3.3.26 Qylatron can check 5 passengers and bags at a time .......................................................................................................... 29
3.3.27 SITA- Proactive Baggage Assistance in Kuala Lumpur International Airport .................................................................. 29
3.3.28 SITA Application Programming Interfaces ....................................................................................................................... 30
3.3.29 SITA- Streamlined Mobile Booking and Check-in ............................................................................................................ 30
3.3.30 iBeacons for passenger location and notification at major airports .................................................................................... 31
3.3.31 Airport Efficiency benchmarking study 2014 .................................................................................................................... 32
3.3.32 Multiple boarding pass for Ryanair and fees for discharged phones / tablets .................................................................... 32
3.3.33 Managing Passenger Handling at Airport Terminals ......................................................................................................... 32
3.3.34 IATA Fast Travel ............................................................................................................................................................... 33
3.3.35 Baggage Tray System or BTSTM ...................................................................................................................................... 33
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3.3.36 CLEAR: Biometrics at the Airport .................................................................................................................................... 34
3.3.37 World's First Commercial Real-Time Concealed Weapons Detection Camera ................................................................. 34
3.3.38 FAST -- Future Attribute Screening Technology ............................................................................................................... 34
3.3.39 Walk-By System 350: Efficient Threat Detection .............................................................................................................. 34
3.3.40 Securidox – iConfirmMobile – 2Dbar codes ..................................................................................................................... 35
3.3.41 MATERNA Bagage Drop-Off Solutions ........................................................................................................................... 35
3.3.42 SMARTPASS -- Passenger Tracking and Boarding Pass Validation ................................................................................ 35
3.3.43 Study of Airport Self-service Technology within Experimental Research of Check-in Techniques .................................. 36
3.3.44 The Application of Biometrics at Airports ......................................................................................................................... 36
3.3.45 Euro Control CDM Landside Modeling ............................................................................................................................. 36
3.4 Transport Time Efficiency-Intermodality .................................................................................................37
3.4.1 GoEuro Multi-mode travel platform .................................................................................................................................. 37
3.4.2 Passenger tracking sensors help reduce travel times .......................................................................................................... 37
3.4.3 Check-in the day before your flight, at the train station, the air terminal, ... ...................................................................... 37
3.4.4 Intermodal Augmented Scheduling .................................................................................................................................... 38
3.5 Transport Time Efficiency-Ground Transport ..........................................................................................38
3.5.1 Travel time efficiency by THALYS .................................................................................................................................. 38
3.5.2 JRC 500 km/h Maglev Train under development in Japan ................................................................................................ 38
3.5.3 Scooter suitcase gets you to airport .................................................................................................................................... 39
3.5.4 High Speed Trains reduce travel times in China ................................................................................................................ 39
3.5.5 Self-driving cars and buses becoming more common ........................................................................................................ 39
3.5.6 Aero-Train for high speed ground transport ....................................................................................................................... 41
3.5.7 Lyft acquires Hitch, prepares for carpooling war with Uber .............................................................................................. 41
3.5.8 LA to San Francisco in half an hour moves closer: Elon Musk reveals plans for 'Hyperloop' test track in Texas ............. 42
3.5.9 Near-Supersonic Hyperloop Ground Transport (same as previous) ................................................................................... 43
3.5.10 5 Ideas That Could Change the Future of Trains ............................................................................................................... 44
3.6 Transport Time Efficiency – Security ......................................................................................................44
3.6.1 Safety improves further in 2015 ......................................................................................................................................... 44
3.6.2 Sensor fault diagnosis using a non-homogeneous high-order sliding mode observer ........................................................ 44
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1 Abstract
Europe, through the High Level Group on Aviation Research, ACARE and the Commission, has a vision
for air transport that covers societal & market needs over the coming 30 years. Central to this is time
efficiency, i.e. reduced door-to-door journey times, seamless inter-modal connections, and improved
reliability.
To achieve these goals, Europe started to get engaged in large scale intensive and coordinated research
& innovation. Stakeholders need a full picture of the research that is being conducted, of gaps that are
present, and of how EU funded R&I meets ACARE goals. CATER will be an R&I observatory and
policy center. It will be run by an expert group with extensive industry knowledge and access to a
network of all relevant organizations. It will include information gathering and knowledge management
processes and tools. CATER will deliver valuable and insightful reports and recommendations,
packaged and disseminated effectively.
CATER will conduct an annual review of the state of the art in Research and Innovation (R&I), identify
gaps in the landscape and bottlenecks in innovation, and formulate strategic recommendations
accordingly. It shall review the landscape in the context of the six Activities of the Specific Program
and the Strategic Research & Innovation Agenda of ACARE. It shall provide a dashboard of relevant
funding programs and it shall complement SESAR and other EU research coordination initiatives.
CATER will develop a website with a toolset and a knowledge base that centralizes and updates
information by way of advanced automated web search tools. The center shall act as network hub for
time efficiency stakeholders enabling them to supply and harvest relevant information and knowledge.
Dissemination of the reports and findings shall be through consultation with stakeholder leaders. It will
be done through the online platform, workshops, outbound communications and piggy-backing on
industry events and organizations. The assets developed by CATER will be assimilated into a permanent
organization when CATER comes to a close.
1.1 Intellectual Property Rights
This document and any annexes included in it are confidential and intended solely for the use of the
individual or entity to which it is addressed. Its contents are property of the CATER consortium and
shall not be disclosed to anyone outside of this group.
Disclosing, copying, distributing or taking any action in reliance on the contents of this document is
strictly prohibited. If you have received this document in error please notify the sender.
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1.2 Acronyms
AAS Advanced Airspace Scheme
ALP Aircraft Landing Problem
APU Auxiliary Power Unit
ARN Air Traffic Services Route Network
ATM Air Traffic Management
CATER Coordinating Air transport Time Efficiency Research
CDG Charles de Gaulle
CUSS Common Use Self-Service
CUTE Common User Terminal Equipment
DHS U.S. Department of Homeland Security
DLR Deutsches Zentrum für Luft- und Raumfahrt
DSNA Direction des Services de la Navigation Aérienne
EU European Union
FAST Future Attribute Screening Technology
FCFS First Come First Serve
GE General Electric
HSARPA Homeland Security Advanced Research Projects Agency
HTLCs High Level Target Concepts
IATA International Air Transport Association
IMPA Innovation Management Platform for Aeronautics
IT Information Technology
NASA National Aeronautics and Space Administration
NFC Near Field Communication
NRC National Research Council
PDA Personal Digital Assistant
R&I Research and Innovation
SESAR Single European Sky ATM Research
SRA Strategic Research Agenda
TE Time Efficiency
TRB Transport Research Board
TSA U.S. Transportation Security Organization
VTOL Vertical takeoff and landing
XMAN Cross border arrivals management
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2 Introduction
The task of ALTRAN, supported by all partners, is to compile and continue to maintain a dossier of
changes, trends, and factors which can impact time efficiency and which are not driven by planned R&I
programs. This task will be performed during the entire duration of the project. This goal of work
package 2.4 was to survey all available published material related to the improvement of efficiency in
passenger door-to-door travel times. The specific objectives were:
Gather all relevant information regarding the door-to-door TE model, relevant statistics, goals
and stakeholders
Create a high quality secondary research system to assure CATER analysis is based on full
information
Create a system of turning data into knowledge and making that knowledge available to project
members and public in an accessible and useful way
Assure the project works from an excellent baseline
Deliverable 2.11 contains a description of the Technology and Industry Watch approach and the
specification of the changes to the IMPA software platform that will be used to collect Technology &
Industry watch information.
Deliverable 2.12 documents the search results at the end of the first year of the project.
Deliverable 2.13 (this document) documents the search results continuing with any new Technology
Watch information added after D2.12 up to February 2016.
3 Results from Current Period
In this section we list the most relevant Technology and Industry Watch items that were found during
the first year of the project.
The results are divided into the following sections:
Air Transport Time Efficiency-General
Air Transport Time Efficiency-ATM
Air Transport Time Efficiency-Airports
Transport Time Efficiency-Intermodality
Transport Time Efficiency-Ground Transport
Transport Time Efficiency- Security
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3.1 Air Transport Time Efficiency-General
3.1.1 Delay assignment optimization strategies at pre-tactical and tactical levels
This paper compares different optimization strategies for the minimization of flight and passenger
delays at two levels: pre-tactical, with on-ground delay at origin, and tactical, with airborne delay
close to the destination airport. The optimization model is based on the ground holding problem and
uses various cost functions. The scenario considered takes place in a busy European airport and
includes realistic values of traffic. Uncertainty is introduced in the model for the passenger allocation,
minimum time required for turnaround and tactical uncertainty. Performance of the various
optimization processes is presented and compared to ratio by schedule results.
http://www.sesarinnovationdays.eu/files/2015/Papers/SIDs_2015_paper_38.pdf
3.1.2 TREE model: a tool to explore delay reduction scenarios in the ECAC area
Air transportation systems display a rich phenomenology connected with several key topics in
Complexity Science, such as complex networks, cascading failures and percolation. One example is
flight delays that have usually the origin in primary events localized in limited areas of the network,
but can later multiply and magnify as the daily operations go along. Given the large costs that delays
convey, it is important to characterize their propagation and to model with predictive power the
potential components or areas of the network affected. In this paper, we discuss the validation of an
agent-based model, developed within the framework of the SESAR WPE TREE project and aiming at
simulating the propagation of delay in the ECAC airport network. Simulation outcomes are
systematically confronted with empirical flight performance, the results show a good level of
agreement with accuracies and precisions. Furthermore, we use the model to assess the effect on delay
reduction in the network of two delay reduction scenarios: dropping passenger connections if the
delay induced goes beyond a given threshold τ, or decreasing the service time of aircraft in the
airports if they delay is larger than a given value ∆. Our results show how optimal values of τ and ∆
can be found within the simulation framework.
http://www.sesarinnovationdays.eu/files/2015/Papers/SIDs_2015_paper_30.pdf
3.1.3 Delay propagation – new metrics, new insights
Network delay propagation is intimately linked with the challenges of managing passenger itineraries
and corresponding connections. Airline decision-making governing these processes is driven by
operational and regulatory factors. Using the first European network simulation model with explicit
passenger itineraries and full delay cost estimations, we explore these factors through various flight
and passenger prioritisation rules, assessing the performance impacts. Delay propagation is further
characterised under the different prioritisation rules using complexity science techniques such as
percolation theory and network attack. The relative effects of randomised and targeted disruption are
compared.
http://www.atmseminar.org/seminarContent/seminar11/papers/511_Cook_0126150652-Final-Paper-
4-27-15.pdf
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3.1.4 A micro view to en-route delays
The analysis and characterization of delays is one of the most important research topics in ATM,
mainly due to their implications in the cost-efficiency and safety of the system. In spite of this, little
attention has been devoted to the assessment and study of non-ATFM delays, and specifically of en-
route delays. In this contribution, we present a methodology for comparing the planned and real
trajectories of a flight, aimed at identifying those events generating both positive and negative delays.
This methodology is then applied to an historical data set representing flights crossing the European
airspace during several key days of 2011. Among the results obtained, of special relevance are the
characterization of the resilience of the European ATM system, measured by the amount of delays
generated and absorbed in en-route segments; and the geographical distribution of events, which is
characterized by a high heterogeneity. From a more general perspective, this methodology would
allow shedding light on the mechanisms involved in the appearance of en-route delays, thus enabling a
better systemic performance.
http://www.atmseminar.org/seminarContent/seminar11/papers/428-Belkoura_0126151201-Final-
Paper-5-26-15.pdf
3.1.5 easyJet places artificial intelligence at the heart of its growth and customer plans
easyJet CEO Carolyn McCall: “Tapping into the huge potential of AI by accelerating our use of data
science right across the airline will improve our efficiency, bring down costs, increase revenue and
drive greater customer satisfaction,” she stated.
Villaverde suggested one of the key goals is to create seamless experiences by using the technology to
better understand customers and their demands. “We think the basic idea here is that when passengers
interact with easyJet, being via the website or during their flight, their experience would look and feel
both smooth and natural. We have lots of ideas about how that will happen and there are different
teams working on those. Advanced analytics capabilities play a crucial role to support those initiatives
and this is one of the areas where I will be focusing in my role.”
“Advanced analytics can also help us to make better decisions when we need to handle disruptive
events such as adverse weather, air traffic control strikes, predictive maintenance or a better in-flight
offering. On top of that, easyJet is a growing organisation and we hope that AI will allow us to
continue growing.”
Source Future Travel Experience 29 Jan 2016
3.1.6 JetBlue startup lab sets sights on IoT, artificial intelligence, big data, virtual reality and machine learning
The carrier has revealed that the wholly owned subsidiary will “invest in, incubate and partner with
early stage startups at the intersection of technology, travel and hospitality” and will play an important
role in the airline’s efforts to “shape the future travel experience”.
Their website states: “JetBlue is a company known for award winning customer service, delivered by
helpful and friendly crewmembers. Future technologies to power seamless customer and crewmember
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interactions across the entire digital and physical travel experience include personalisation,
geolocation, customisation, messaging, virtual reality, improved tools for our crewmembers to deliver
magnificent service or enhanced ways to extend the JetBlue brand and culture.” It also envisages a
“travel experience free of bag tags, tickets, lines and instead a connected world that anticipates
customer needs”.
Future Travel Experience 11 Feb 2016
3.1.7 American Airlines teams up with Uber for door to door travel
American Airlines is partnering with Uber to create a door-to-door streamlined service to help
customers get from home or work to the airport and back. The companies will work together to
provide customers faster service, better airport navigation, rider promotions and mileage promotions.
Travellers can set a reminder when booking their flight to get directions to the nearest Uber pick point
via their American Airlines app when they land.
GlobeNewswire, February 11, 2016
3.1.8 Air traffic delay statistics
You can find here all the public reports about air traffic delays in Europe by month in pdf version.
3.1.9 Self-healing structures could reduce maintenance
Scientists believe new self-healing material for use in airplane construction could repair cracks in
aircraft in a manner similar to the way human skin heals itself.
Developed at Bristol University, the team of scientists are focusing on carbon fiber reinforced
materials that are currently used widely in sports equipment. They have developed tiny micro-spheres
– or hollow capsules – that are filled with a healing agent. The micro-spheres are implanted into the
carbon fibre composite material, along with a catalyst.
Upon impact, the micro-spheres spheres break open. When the liquid comes into contact with the
catalyst, there is a hardening of the two materials, effectively gluing the crack caused by impact back
together.
Link
3.1.10 Aeromobil flying car
The Slovak company Aeromobil is developing a flying car with folding wings that can be driven on
normal roads, then take flight. They currently have a working prototype in regular flight-testing
program in real flight conditions since October 2014.
More info here
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3.1.11 Personal aircraft designed so that anyone can fly
Icon's mission is: “To democratize aviation. Humans will move in three dimensions on a personal
level. It’s in our future."
To that end, they've designed the aircraft's crucial feedback-providing gauges to be closer to what
you'd find in a passenger car rather than an Airbus.
"A high goal for us is that there is a very intuitive user interface," Icon founder Kirk Hawkins
told Bloomberg. In concert with the physical design of the craft itself, this makes the A5 easier to fly.
Sources: Core77 21 Sept 2015
3.1.12 Global warming may increase flight times
As we continue pumping heat-trapping CO2 into the air, the ENSO and air circulation patterns are
changing. Analyzing 30 different global climate models used by the Intergovernmental Panel on
Climate Change, Karnauskas and his team found that a warming world may reposition the jet stream
such that airplanes face stronger winds traveling from California to Hawaii, adding a little bit of time
and fuel to the trip. By the same token, shorter flights going eastbound could burn less fuel. But
Karnauskas finds that the fuel savings going east didn’t cancel out the additional fuel on flights
headed west.
Source: Gizmodo 15/7/2015
3.1.13 Boeing shows off cabin bins that hold 50% more cases
Boeing has shown off its "space bins" that can hold 50% more luggage than existing designs. The
company says the new overhead compartments will allow passengers to store more hand luggage on
its side. The bins will be fitted to some 737 aircraft from the end of this year, the company said. The
new design will mean a 2in (5cm) reduction in headspace for passengers, it said, but air vent and light
controls will be easier to reach. Boeing has shown off its "space bins" that can hold 50% more
luggage than existing designs.
See original article here
3.1.14 Website provides flight statistics for US flights
The website FlightSphere provides visualizations of US Department of Transportation (DOT)
statistics on airline flight times and delays, for US cities. The information can be useful for comparing
the performance of different airlines.
Site link here
DOT statistics here
3.1.15 First commercial electric aircraft
Pipistrel's Taurus Electro G2 is the only electric 2-seat aeroplane in serial production available on
the market. Furthermore, Pipistrel believes it is the only truly useful electric aircraft out there, because
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the electric drive is applied to the glider airframe, where battery capacity is not a limiting factor in
performance/endurance. Taurus Electro G2 represents a leap forward in performance, safety, and
functionality and user friendliness.
Pipistrel developed the Solar Trailer(R), which can charge-up the Taurus Electro G2 absolutely free
and with zero emissions! Charging with the help of the Solar Trailer offers 1 kW of usable energy,
this means charging time 10 hours for 30-Ah batteries and 12 hours for 40-Ah batteries.
Furthermore, when the Taurus Electro G2 is stored in the trailer during a week of bad weather, it will
still be charged and ready to fly by the weekend. The Solar Trailer and Taurus Electro G2 are perfect
companions and demonstrate how it is possible to fly free of charge, quietly and with absolutely zero
emissions, with today's technology!
See more here.
3.1.16 Performance based navigation reduces approach time by 7.5 minutes
Navigation services: Provides Performance-based Navigation (PBN) flight path design and
consultation to reduce track miles flown for significant fuel and emissions savings and noise
reduction. GE's multi-year collaborative program, Green Skies of Brazil, aims to improve airspace
efficiency at 10 Brazil airports. GOL will be the first airline to launch the program this year.
At Brasilia International airport alone, GOL could potentially save an average of 22 track miles, 7.5
minutes, 77 gallons of fuel and 1628 lbs. of CO2 per approach compared to the conventional paths,
totaling more than $24 million in operational savings over five years. Green Skies of Brazil aims to
reduce GOL operating costs by at least $100M over five years.
Watch a video on the program here. Flight analytics: Provides quality assurance tools and turns flight and operational data into business
intelligence. For Green Skies of Brazil, GE's flight data analytics platform used detailed airspace,
airport and airline operational models to evaluate the efficiency of historical flight operations, identify
areas for improvement, and quantify the potential efficiency gains. As a result, GE's Navigation &
Fuel Management experts quantified the value of deploying Required Navigation Performance (RNP)
procedures to airlines in Brazil.
Fleet synchronization: Provides traffic flow and aircraft sequence management to reduce hold times at
landing and increased predictability. GE Aviation was selected by Emirates airline to provide GE's
airline-based flow management system for an 18-month validation at Dubai International Airport. GE
and Emirates are working together to optimize traffic flows, reduce fuel and delay costs and improve
their hub passenger-connection schedule. The trial is still underway and initial results are
demonstrating reductions in arrival and holding delay times. Watch a video on fleet sync here.
Source: GE Aviation
3.2 Air Transport Time Efficiency-ATM
3.2.1 A Review of the Next Generation Air Transportation System
The Next Generation Air Transportation System's (NextGen) goal is the transformation of the U.S.
national airspace system through programs and initiatives that could make it possible to shorten routes,
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navigate better around weather, save time and fuel, reduce delays, and improve capabilities for
monitoring and managing of aircraft. A Review of the Next Generation Air Transportation provides an
overview of NextGen and examines the technical activities, including human-system design and
testing, organizational design, and other safety and human factor aspects of the system, that will be
necessary to successfully transition current and planned modernization programs to the future system.
This report assesses technical, cost, and schedule risk for the software development that will be
necessary to achieve the expected benefits from a highly automated air traffic management system and
the implications for ongoing modernization projects. The recommendations of this report will help the
Federal Aviation Administration anticipate and respond to the challenges of implementing NextGen.
Report available here.
3.2.2 Next generation air traffic technology goes live at NATS Prestwick
The system – called iTEC – is the next generation of air traffic management technology. It includes a
range of tools to help reduce air traffic controller workload, increase airspace capacity and improve
safety by automatically detecting potential aircraft conflicts ahead of time.
It also helps reduce aircraft fuel burn and emissions by enabling the future introduction of ‘Free Route
Airspace’ above 28,000 feet, allowing aircraft greater flexibility to fly optimum routes and to take
advantage of prevailing weather conditions.
The iTEC platform has been developed by Indra to be interoperable with air traffic management
systems across Europe. Its introduction at Prestwick – only its second deployment – represents a major
milestone for NATS and helps bring a Single European Sky closer to reality.
“Trajectory based operations will mean that airline preferred routing can be applied wherever possible,
while iTEC is also able also to predict where a flight will be in advance. This will help support
conflict-free flight plans that avoid the need for multiple tactical clearances. The controller will then
be free to focus on monitoring the plan rather than giving instructions to maintain separation, enabling
them to handle more traffic and thus reducing the cost per-flight.”
Source NATS 23 Feb 2016
3.2.3 ATM efficiency can be found in Skyfusion cloud
The two organizations have developed SkyFusion—a new cloud-based tool through which airports,
airlines and air navigation service providers (ANSPs) can exchange operational information across
flight information regions.
SkyFusion information is powered by the system-wide information management data exchange
protocol, which aligns with ICAO recommendations and the ICAO global air navigation plan. Better
information sharing will allow users to work together when disruptions occur and other ATM-related
events.
‘’Airlines, airports and ANSPs share the common goals of improving efficiency, lowering operating
costs and reducing emissions. This platform will facilitate effective exchange of information so that
operational decisions can be made with the highest net benefit from the ATM system,’’ said Rob
Eagles, IATA’s Director, ATM Infrastructure.
“Collaboration is the key to vastly improving commercial ATM operations on a global scale,” said
Carl D’Alessandro, President, Critical Networks, Harris Corporation. “It can positively impact every
aspect of airspace operations, from reducing delays to saving fuel.”
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Source IATA 18 Feb 2016, IATA 4 Feb 2016
3.2.4 Brisbane airport implements measures to increase on-time performance
“In 2012, BAC partnered with Airservices Australia and the National Air Traffic Services (NATS),
which manages air-traffic control in the United Kingdom, to deliver an Airport Capacity Enhancement
(ACE) program at major airports across Australia.
“The goal of the ACE Programme at BNE specifically was to identify opportunities to improve
efficiency and to increase the use of existing assets and infrastructure to increase runway capacity and
reduce congestion and delays, particularly during peak traffic periods.
“Some of ACE’s initiatives included increasing the use of the short cross-runway, improving pilot
reaction times and reducing runway and taxiway occupancy times to reduce the time required for take-
offs and landings, optimising aircraft sequencing, and introducing more standardisation across
different operators and aircraft types.
Additionally, the introduction of a Runway Demand Management Scheme (RDMS) and an air traffic
flow management program by Airservices to better manage aircraft movements during peak times at
BNE have also contributed to Brisbane Airport being named one of the world’s most punctual.
Source: Air Traffic Management Jan 28, 2016
3.2.5 Equivalent Lateral Spacing Operations helps reduce taxi times
Departure routes from a runway must diverge by a minimum angle to ensure safe separation between
departures. Equivalent Lateral Spacing Operations (ELSO) refers to the reduction of this minimum
made possible by more precise aircraft navigation, which can create opportunities to add diverging
departure routes without reducing safety. Since less separation is often required for successive
departures that diverge, controllers can sequence departures so as to reduce the time between take offs.
This can increase the number of take offs that a runway can accommodate during busy periods, and,
by extension, reduce the time that aircraft spend in line waiting to depart.
The addition of Equivalent Lateral Spacing Operations (ELSO) enabled routes had a significant
positive impact on departure operations at Hartsfield-Jackson Atlanta International Airport (ATL) that
has been the busiest airport in the world in passenger traffic for many years. Following
implementation, the FAA observed:
A reduction in the time between departures on the two affected runways, from 62 to 46
seconds, as measured by the most typical value. This translates to an increase in departure
throughput.
A resulting increase in ATL's departure capacity as set by the facility, from 101 to 105
departures per hour.
A reduced reliance on the third, and most distant, departure runway, from 3.1 percent to 1.2
percent of all departures. Affected flights saved about six minutes taxiing for departure.
The increased departure rate and reduced reliance on the most distant departure runway translated to
an average saving of 2.5 minutes taxiing out per flight, based on an FAA analysis of ATL taxi out
times using FAA's Aviation System Performance Metrics (ASPM) data.
Source: FAA 2016
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3.2.6 Wake Recategorization in the US increases capacity and reduces taxi-out times
Air carriers are saving time and money through new FAA aircraft separation standards known as
Wake Recategorization (Wake Recat).
Wake turbulence, the swirling air generated from the wings of a flying aircraft, can create hazardous
conditions for the one behind it.
Through Wake Recat, air traffic controllers can safely reduce the spacing between consecutive
departures from or arrivals to an airport. More aircraft can take off and land, reducing arrival delays
and the time aircraft wait on taxiways and runways with their engines burning fuel.
New standards are possible because of changing categories of aircraft, formerly based mainly on
weight, to those based on wingspan, weight and stability. The standards and categories are the result of
more than a decade of research by various government agencies and industry partners.
An FAA performance assessment of Wake Recat impacts conducted by the MITRE Corp. showed a
noticeable reduction in time between successive flights that depart from or arrive to the same runway
— resulting from shorter taxi-out times for departures and shorter time in terminal airspace for
arrivals.
At Hartsfield-Jackson Atlanta International Airport, average taxi-out time declined 6 percent from
18.8 minutes to 17.6 minutes. Time in the TRACON airspace for arrivals decreased 38 seconds or 4.4
percent.
Memphis experienced an average 1.1 fewer minutes in taxi-out time when distributed across all of its
more than 300 daily departures, and 14 fewer seconds in TRACON airspace, a 1.7 percent decrease.
Louisville dropped a half minute in taxi-out time when spread among its nearly 200 daily departures
and 35 seconds in TRACON airspace, a 3.8 percent decrease. At Cincinnati, time in TRACON
decreased by 19 seconds or 2.4 percent.
Source FAA Dec 2015
3.2.7 IRIS PROGRAMME FOR AIR TRAFFIC MANAGEMENT
Iris, element 10 of the ARTES programme, aims to make aviation safer by developing a new satellite-
based air–ground communication system for Air Traffic Management (ATM).
Currently, aircraft are tracked by radar when over land and in coastal areas, and flight paths are
negotiated by radio. However, once an aircraft heads out over the ocean ATM is no longer possible
until it reenters continental airspace. This means that flight paths are difficult to adjust in response to
adverse weather and other factors, and wide buffers must be maintained between aircraft flying in a
given oceanic corridor.
The Single European Sky ATM Research (SESAR) programme promises to boost efficiency, capacity
and performance of ATM worldwide. Iris will provide the satcoms technology for this programme.
Modernisation on this scale demands a stepped approach, so Iris has been divided into two phases:
‘Iris Precursor’ for the short to medium term, which will evolve into the full Iris service, supporting
the long-term objectives of SESAR.
A milestone was passed on 26 November 2014 with the signing of a contract worth €15 million for the
Iris Precursor public–private partnership between ESA and UK satellite operator Inmarsat.
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By 2018, Iris Precursor will provide air–ground communications for initial ‘4D’ flight path control,
pinpointing an aircraft in four dimensions: latitude, longitude, altitude and time. This will enable
precise tracking of flights and more efficient management of traffic.
High-capacity digital data links via satellite carrying this information to cockpit crews in continental
and oceanic airspace are expected to become the norm, with voice communications used only for
specific operations.
While the initial focus will be on Europe, the capabilities developed will open opportunities for
deployment in North America, Asia Pacific and other regions, where the growth of air traffic is
placing a strain on ground-based networks.
By 2028, Iris will enable full 4D trajectory management over airspaces across the globe and the data
link will be the primary means of communications between controllers and cockpit crews.
Source: ESA
See Link
3.2.8 Airports test unmanned traffic control towers
Airports are increasingly using unmanned air traffic control towers - relying on technology rather than
humans to do a highly specialised job.
A remote system designed by Swedish defence firm Saab has just been rolled out in Leesburg
Executive Airport in Virginia and has been in use in Sweden's Ornskoldsvik airport since April this
year. Sweden's Sunsvall airport will also have the system installed before the end of 2015.
The remote system - includes 14 high-definition cameras and sensors that can spot aeroplanes in all
weathers.
At Ornskoldsvik, the planes are controlled by a person sitting 90 miles (144km) away at Sunsvall
airport.
A spokesman for Saab told the BBC that the technology could be a huge benefit to air traffic control,
reducing costs as small airports could pool controllers.
The technology can do a better job than humans, he said.
"The cameras and sensors pick up and see aircraft in any environment - in fog, rain and the dark. It is
better than the human eye."...
..."The introduction of remote control towers is one of the most exciting technological developments
in the history of our industry," said Nats general manager of operations Paul Jones.
Source: BBC 17 September 2015
3.2.9 Trial aims to cut Heathrow holding times
Heathrow is conducting a trial concerning sharing information with Air traffic controllers in
Netherlands, France, Scotland and Ireland to ask them to monitor and slow down aircraft up to 350
miles away from London in order to absorb up to 3 minutes of delay on arrival.
The trial is being led by NATS in close cooperation with French air traffic control provider, DSNA,
the Maastricht Upper Area Control Centre and Prestwick Control Centre, with the aim of cutting
average holding times by at least a quarter from the current time of just under 8 minutes.
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In a pre-trial test of the system, the first ever live data – flight BAW74 – was passed between NATS
and French air traffic controllers at DSNA’s Reims control centre in the early hours of 21 March 2014.
Martin Rolfe, Managing Director, Operations at NATS commented: “This is the first cross border
arrivals management – or XMAN – trial of its kind anywhere in the world and a great example of
partnership working for the benefit of our customers and a potential future model for the industry. We
expect the trial to be a significant benefit to our airline customers in terms of fuel savings.”
The trial will run until the end of 2014.
See more here
Source: NATS (2014)
3.3 Air Transport Time Efficiency – Airports
3.3.1 Eezeetags Ensure a Stress-Free Self-Service Bag-Drop Experience
Research has shown that a relaxed and happy passenger is 60 times more likely to spend money in the
retail area. Happy passengers are also likely to come back and travel from the same airport again, and
eezeetags can help create that seamless travel experience to keep passengers smiling.
Eezeetags are more efficient to use than the standard tags used in self-service bag-drop units. According
to the company, when using a standard tag in an self-service bag-drop unit it will take the passenger on
average 10 seconds longer to self-tag their bag compared to using eezeetags in the same self-service
bag drop unit. These extra 10 seconds give a huge positive difference in the total cost of ownership of
a self-service bag-drop unit.
EasyJet, in close collaboration with Gatwick and Edinburgh airports and several bag drop suppliers, has
chosen eezeetags for its self-tagging operation, and KLM and Lufthansa have been using them for a
number of years. According to SITA, 80% of airports and airlines will have invested in self-service bag
drop by 2018. This implies that the demand for self-tagging will increase. Operators looking to save
valuable time should invest in eezeetags.
Source: www.airport-technology.com
White paper: Design and Technology: Happy Customer
Date: 23 February 2016
3.3.2 Reducing Departure Delays at LaGuardia Airport with Departure-Sensitive Arrival Spacing (DSAS) Operations
Air traffic management in the New York (NY) metropolitan area presents significant challenges
including excess demand, chronic delays, and inefficient routes. At NASA, a new research effort has
been initiated to explore Next Generation Air Transportation System (NextGen) Trajectory Based
Operations (TBO) solutions to address lingering problems in the NY metroplex. One of the larger
problems in NY is departure delays at LaGuardia airport (LGA). Constant traffic demand and physical
limitations in the number of taxiways and runways cause LGA to often end up with excessive departure
queues that can persist throughout the day.
At the Airspace Operations Laboratory (AOL) located at NASA Ames Research Center, a TBO solution
for “Departure-Sensitive Arrival Spacing” (DSAS) was developed. DSAS allows for maximum
departure throughput without adversely impacting the arrival traffic during the peak demand period. The
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concept uses Terminal Sequencing and Spacing (TSS) operations to manage the actual runway threshold
times for arrivals. An interface enhancement to the traffic manager’s timeline was also added, providing
the ability to manually adjust inter-arrival spacing to build precise gaps for two or even three departures
between arrivals. With this set of capabilities, inter-arrival spacing could be controlled for optimal
departure throughput.
The concept was prototyped in a human-in-the-loop (HITL) simulation environment to determine
operational requirements such as coordination procedures, timing and magnitude of TSS schedule
adjustments, and display features for the tower, Terminal Radar Approach Control (TRACON), and
Traffic Management Unit (TMU). A HITL simulation was conducted in August, 2014, to evaluate the
concept in terms of feasibility, impact on controller workload, and potential benefits. Three conditions
were compared: (1) a baseline condition using new RNAV/RNP procedures (no TSS); (2) the new
procedures + TSS; and (3) new procedures + TSS + DSAS schedule adjustments. Results showed that
with a maximum arrival demand (40-41 arrivals per hour), departure throughput could be increased from
38 / hour (baseline condition), to 44 / hour (TSS condition), to 47 / hour (TSS + DSAS). The results
suggest that DSAS operations have the potential to increase departure throughput at LGA by up to 9 a/c
per hour with little or no impact on arrivals during peak traffic demand period.
Source: Link
3.3.3 Airlines look to the promise of the ‘internet of things’
One of the first manifestations of the IoT in the air transport industry is the use of beacons. Today just
9% of airlines are using or trialing beacons but this is set to rise rapidly to 44% by 2018.
The focus of these new services over the next three years will be to use location-based information, in
many cases from beacons, to solve baggage-related issues and help passengers board on time with
notifications based on their location, even before they reach the airport.
Bag services are the steps of the journey where beacons will be most used by then – 44% of airlines are
planning to use them at bag drop and 43% at bag claim. Moreover, close to 60% of airlines offer flight
notification services to passengers via smartphone apps and by 2018 the numbers are expected to be
over 96%. This is already the number one service for which airlines are using beacons and in three years,
57% will use beacons to inform way-finding apps.
3.3.4 Optimizing Integrated Arrival, Departure and Surface Operations under Uncertainty
In airports and surrounding terminal airspaces, the integration of arrival, departure and surface
scheduling and routing have the potential to improve operations efficiency. Recent research developed
a mixed-integer-linear-programming algorithm-based scheduler for integrated arrival and departure
operations in the presence of uncertainty. This paper extends previous research to the surface to integrate
taxiway and runway operations. The developed algorithm is capable of computing optimal aircraft
schedules and routings that reflect the integration of air and ground operations. A preliminary study case
is conducted for a set of thirteen aircraft evolving in a model of the Los Angeles International Airport
surface and terminal areas. Using historical data, a representative traffic scenario is constructed and
probabilistic distributions of pushback delay and arrival gate delay are obtained. To assess the benefits
of optimization, a First-Come-First-Served algorithm approach comparison is realized. Evaluation
results demonstrate that the optimization can help identify runway sequences and schedules that reduce
gate waiting time without increasing average taxi times.
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Source: Link
3.3.5 Biometric technology is enabling the seamless travel
Biometric technology is at the heart of the Aruba Happy Flow project, which uses facial recognition
technology as the basis of a single passenger token, which removes the need for passengers to present
their passports and boarding passes at multiple stages of the airport journey. In the United States, the
CLEAR program uses fingerprint verification to grant members access to fast track lanes at 12 airports,
while the integration of biometric technology into Automated Passport Control (APC) kiosks has
allowed the program to be expanded beyond US and Canadian residents, and made available to travelers
from the 38 visa waiver countries. Elsewhere, Australian Customs and Border Protection Service is
currently in the process of rolling out the facial recognition technology-enabled SmartGate system for
departing passengers, which will speed up and secure the international departures process at the
country’s eight busiest airports by removing the need for manual checks.
More at: Future Travel Experience 16 Jul 2015
3.3.6 Allow passengers mote travel options through self-connecting flights
Self-connecting passengers are those that book separate tickets to fly from City A to City C, via City B.
For instance, a traveller may opt to fly from Inverness to Gatwick Airport on one ticket, and then fly on
from Gatwick to Palma on a separate ticket. However, unlike with a multi-leg journey booked on a
single ticket with a legacy carrier, if the passenger misses the connecting flight they have no protection,
which can lead to serious inconvenience and a sizeable financial loss for the passenger.
Gatwick Airport, which serves mostly point-to-point traffic, has decided to address this issue with the
launch of GatwickConnects. This new booking platform allows travellers to book self-connecting flights
in one transaction and offers peace of mind that the airport will take care of them if things don’t go as
planned.
If a passenger’s self-connecting journey is disrupted due to no fault of their own, they can pay a visit to
the GatwickConnects desk in the terminal and the airport will take responsibility to rebook them onto
an alternative flight, provided they booked via the GatwickConnects platform. “GatwickConnects takes
this responsibility,” Baldwin, Chris Baldwin, Business Development Manager and GatwickConnects
Lead explained. “Our onsite booking process ensures the best possible passenger experience.”
Of course, passengers have to pay an extra fee for the GatwickConnects service. This fee is absorbed
into the flight booking cost and starts at £27.50 for a one-way journey. A missed self-connecting flight
could, however, cost a lot more, especially when taking into account the cost of re-booking a new flight
and possibly having to fund a stopover if the next flight is not until the following day. The fee also
includes a number of benefits, such as premium security access, a complimentary drink at the airport,
and discount vouchers for lounge entry.
Source: Future Travel Experience 15 Oct 2015
3.3.7 IATA baggage tracking resolution 753
Following IATA’s announcement of the new Resolution 753 on baggage tracking, which comes into
effect in June 2018, questions have been raised about what this means for airlines, airports and ground
handlers, and what steps they may need to take to prepare for the implementation of the resolution.
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The full details of Resolution 753 are available on the ITATA website, but in short, it states that “IATA
members shall maintain an accurate inventory of baggage by monitoring the acquisition and delivery of
baggage”. IATA members shall be able to: demonstrate delivery of baggage when custody changes;
demonstrate acquisition of baggage when custody changes; provide an inventory of bags upon departure
of a flight; and be capable of exchanging these events with other airlines as needed.
So, what is the thinking behind the new resolution? Andrew Price, Head of Airport Operations at IATA,
told FTE: “During the IATA Baggage Improvement Programme we found that airlines that had good
tracking in place for baggage had significantly less mishandling than other airlines in their region. The
ability to track bags is a fundamental one that allows a journey to be closed, viability on what is where
in a network, and predict flows around the airport.
“Good baggage tracking allows you to know where bags are prior to departure, so proactive action can
be taken to retrieve those bags and ensure they make their connections. Without this information you
just wait until build close and hope that the bag arrives. Even when this proactive approach is not
possible, then being able to provide further information to the passenger about their baggage journey
improves customer service.”
Source: Future Travel Experience 22 Jan 2015
3.3.8 RFID Baggage Handling Pilot project completed
RFID solution provider Longest Chance approached IATA with the idea of tracking bags from check-
in at one airport to the arrivals at another. The system that Longest Chance has developed ensures that
the correct bag leaves with the right passenger, and that the airline is informed of any discrepancy that
may arise during the baggage's journey. IATA acted as a consultant for the technology's installation.
The technology could potentially reduce or prevent the likelihood of misrouted bags, speed up the
identification of luggage for loading into departing flights and increase passenger satisfaction by
reducing the incidence of mishandlings.
The pilot's goal was to allow both the airline and airports to view how the technology works in a real-
life scenario. Longest Chance selected four airports. Moscow's Sheremetyevo International Airport
(SVO) was selected as the originating site, while the three destination varied in size and complexity,
from the reasonably large and busy Prague Airport, in the Czech Republic, to the somewhat smaller
Bologna Airport, in Italy, to the very small Tallinn Airport, in Estonia. Aeroflot was the primary
participating airline, with Estonian Air serving flights destined for Tallinn.
Now that the HHRBTS pilot is completed, Markovich, the baggage operation manager at Russian airline
Aeroflot, says they hope to continue its use of the technology. "Aeroflot is interested in using this
technology in vital handling baggage process," he says, "but it is important to remember that not only
the carrier is interested in implementing such kind of system, but also the airport, which provides it as
an additional service for airlines and passengers."
According to Vladimir Gavrilov, who heads Sheremetyevo's baggage-handling service, the Moscow
airport is interested in permanently deploying the technology, but also wants to see participation from
all parties related to baggage handling. "Our airport is ready to start using RFID technology, but
unfortunately this technology is not widespread," he says. "We hope that the airlines will support the
necessity of transition from existing systems to systems with RFID technology, firstly in order to
improve the quality of passenger service, and cost saving in the future."
Source: RFID Journal 17 Nov 2015
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3.3.9 Reduced Manual Handling of Transfer Bags with Video Coding System
Airlines and airports alike are always striving to deliver a first class customer experience and connection
times can be a difficult topic – passengers don’t want to be waiting too long nor have to rush or find out
their bags didn’t make the flight. Baggage handling staff are under pressure to re-direct the luggage
accurately, often within a small timeframe and avoiding short-shipments.
The major hurdle to be overcome is unreadable bag tags. The majority of luggage can be easily processed
through the fully automated Baggage Handling System (BHS) but periodically bags with unreadable
tags must be directed to a Manual Encoding Station (MES). This diversion adds extra time and in
irregular cases where the Bag Source Message (BSM Data) is not available, this can cause delays that
can lead to a high number of short-shipped bags, incurring high costs for the airport and airlines and
leaving passengers unhappy.
By adding cameras and introducing a Video Coding System (VCS) into the BHS, the bag does not have
to be diverted to an MES as an image of the tag is sent via the VCS to an operator who encodes the
information remotely at a workstation or via a tablet. Using a VCS ensures baggage flow is not
interrupted, short-shipments are reduced and passengers have an even more positive experience.
Source: Beumer Group 06 Jan 2016
3.3.10 ANA unveils Japan’s first self-service baggage-drop system
The new bag-drop system will be available to domestic passengers traveling from Terminal 2 and will
be placed alongside the airline’s automated check-in machines. ANA plans to install a total of 39 self-
service baggage-drop machines by the end of 2015, which the airline claims will be the greatest number
of baggage-drop systems in one airport in the world.
The ANA self-service baggage-drop kiosk will be available in English, traditional Chinese, simplified
Chinese and Korean. In 2016, ANA will introduce a new series of easily identifiable pictograms for
passengers to help them locate the appropriate counter and amenities.
Source: Passenger Terminal Today: July 6, 2015
3.3.11 E-services at Athens International inform passengers of flight information
Athens International Airport in Greece has introduced a new service using Facebook Messenger that
keeps passengers updated with live flight information.
Passengers simply log on to Facebook Messenger on their mobile device and post a message on the
www.facebook.com/ATHmessenger page using hashtags and keywords to indicate which flight they are
interested in. To further improve connectivity, Athens Airport has also introduced free unlimited Wi-Fi
throughout the airport.
Source: Passenger Terminal Today July 21, 2015
3.3.12 Cutting down runway queues
Now engineers at MIT have developed a queuing model that predicts how long a plane will wait before
takeoff, given weather conditions, runway traffic, and incoming and outgoing flight schedules. The
model may help air traffic controllers to direct departures more efficiently, minimizing runway
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congestion. For example, if a controller knows that a plane is unlikely to take off for half an hour, he
may choose to keep the plane at the gate to avoid contributing to runway backups.
To prevent extended runway queues, Balakrishnan and Simaiakis developed a model to predict taxiing
time. The model consists of two modules; the first calculates a plane’s travel time from the gate to the
departure runway, taking into account any interactions with other arriving and departing flights. For
instance, a plane headed toward a clear runway may have to cross an active segment, causing a delay in
its taxiing. The second module estimates an individual runway’s queuing delay — the time it takes for
a plane to take off after joining the queue for takeoff.
In addition to Newark Liberty, the team has tested the queuing model at Boston’s Logan International
Airport, LaGuardia Airport in New York, Charlotte Douglas International Airport in North Carolina,
and Philadelphia’s airport. So far, results suggest that the model may be easily implemented in departure
procedures — a crucial goal, as the nation’s aviation system is expected to experience widespread
congestion in the coming years.
Source: Jennifer Chu | MIT News Office
3.3.13 Toward a More Realistic, Cost-Effective, and Greener Ground Movement through Active Routing
Among all airport operations, aircraft ground movement plays a key role in improving overall airport
capacity as it links other airport operations. Moreover, ever-increasing air traffic, rising costs, and tighter
environmental targets create pressure to minimize fuel burn on the ground. However, current routing
functions envisioned in Advanced Surface Movement, Guidance and Control Systems almost
exclusively consider the most time efficient solution and apply a conservative separation to ensure
conflict-free surface movement, sometimes with additional buffer times to absorb small deviations from
the taxi times. Such an overly constrained routing approach may result in either a too tight planning for
some aircraft so that fuel efficiency is compromised due to multiple acceleration phases, or performance
could be further improved by reducing the separation and buffer times. In light of this, Parts I and II of
this paper present a new Active Routing (AR) framework with the aim of providing a more realistic,
cost-effective, and environmental friendly surface movement, targeting some of the busiest international
hub airports. Part I of this paper focuses on optimal speed profile generation using a physics-based
aircraft movement model. Two approaches based, respectively, on the Base of Aircraft Data and the
International Civil Aviation Organization engine emissions database have been employed to model fuel
consumption. These models are then embedded within a multi-objective optimization framework to
capture the essence of different speed profiles in a Pareto optimal sense. The proposed approach
represents the first attempt to systematically address speed profiles with competing objectives. Results
reveal an apparent tradeoff between fuel burn and taxi times irrespective of fuel consumption modeling
approaches. This will have a profound impact on the routing and scheduling and open the door for the
new concept of AR discussed in Part II of this paper.
See related article and attached paper
IEEE Link
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3.3.14 Technological platform to increase efficiency at Lisbon Airport
Following an agreement signed on the 26 January 2016, Lisbon Airport operation stakeholders, ANA
Aeroportos de Portugal (VINCI Airports), NAV, TAP, Portway, and Groundforce, have agreed to
develop a new technological platformto improve efficiency at the airport through information sharing.
Agreement will enhance Collaborative Decision Making at Lisbon Airport.
According to the Airport, the companies have been, for several years, committed to implementing
Airport Collaborative Decision Making (CDM), one of the technological pillars in establishing the
Single European Sky. The major aim of this project is to organise the European air space into blocks
that are functional rather than determined by the national borders of the various countries, in order to
create safe conditions for dealing with the projected growth in air traffic.
26 January 2016 • Author: Katie Sadler, Digital Content Producer, and International Airport Review
3.3.15 Airport employees get Apple watches for more efficient operations
The new wearable technology at Quebec Airport will push regular operational alerts to duty managers
via the existing airport management system. Marc-André Bédard, Vice President, Information
Technology, Aéroport de Québec, said: “We are always looking for new technology to help enhance
our operations, and ultimately better serve our passengers. Wearable tech is one area of interest to us
and with the Apple Watch and SITA’s Airport Management solution our duty managers will receive
important notifications at just the right time to take action as needed.
For example, they may get an alert to say that two planes are arriving simultaneously and have been
assigned to the same gate or that there is a delay at a certain gate. Previously, they would have
checked their tablets regularly for updates. With the watch, a vibration alerts them to an update so
they receive vital information just by glancing at their wrist. They can then take immediate action.”
The Airport Management Solution, designed by SITA, enables the airport to control all its operations
from a single central control centre and provide the necessary information to make decisions and
manage resources in real time.
Source: 17 June 2015 - Author: Katie Sadler, Digital Content Producer, International Airport Review
3.3.16 Smart watch boarding passes are become more common among airlines
The list of airlines offering apps enabling smart watches to be used as boarding passes is growing. In
addition to display of boarding pass QR code, most of these have notification and information
features, such as alerts for boarding, gate information, delays and more.
With a boarding pass on the wrist, these have potential for speeding up the boarding process and
getting passengers to the gate on time avoiding delays caused by late passengers.
Some of the airlines offering the apps are:
British Airways KLM Iberia
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Lufthansa American Airlines Air New Zealand Delta Air Berlin
Sources: various 2015-2016 (see links above)
3.3.17 Miami International Airport launches app to provide passengers personalized updates
Miami International Airport (MIA) has introduced its mobile app, which has been developed by IT
provider SITA and is intended for passengers and all airport users.
Claimed to be the first airport app in the US to use the latest technologies, including Bluetooth
beacons, it provides information to people, when and where they need it.
As passengers step into the airport, the app offers information and support necessary to their
individual journey, including updates on their gate, flight times and baggage collection, and food and
retail outlets.
The app also presents accurate and up-to-date indoor maps. Due to 'blue-dot' functionality, map
rotation, turn-by-turn directions, 'walk times' and a 'near me' feature, the app enables passengers to
quickly locate anything inside the airport.
Features:
Scan your boarding pass or search for flights by destination, airline and flight number.
Subscribe to flight notifications and receive updates for flight, gate and baggage carousels
changes, as well as option to share your flight info.
Easy to navigate maps that use blue dot beacon technology for an accurate and detailed
experience.
Powerful search engine with robust database.
Visual directions with walk times to find your gate, restaurants and more.
Uses location-aware technology to predict your location and anticipate your needs.
Recognizes and welcomes you via geo-fence technology, whether you’re driving or flying to
MIA.
Customizable personal profile with option to save your favorite shops and restaurants.
Weather information in Miami or throughout the world.
Real-time flight information and tracking.
“Near me” feature that provides the closest dining and shopping options.
Source: Link
3.3.18 An Integrated Scheduling and Operations Approach to Airport Congestion Mitigation
Most flight delays are created by imbalances between demand and capacity at the busiest airports.
Absent large increases in capacity, airport congestion can only be mitigated through scheduling
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interventions or improved capacity utilization. This paper presents an integrated approach that jointly
optimizes the airport’s flight schedule at the strategic level and the utilization of airport capacity at the
tactical level, subject to scheduling, capacity, and delay-reduction constraints. The capacity-utilization
part involves controlling the runway configuration and the balance of arrival and departure service
rates to minimize congestion costs. The schedule optimization reschedules a selected set of flights to
reduce the demand capacity mismatches while minimizing interference with airline competitive
scheduling. We develop an original iterative solution algorithm that integrates a stochastic queuing
model of airport congestion, a dynamic programming model of capacity utilization, and an integer
programming model of scheduling interventions. The algorithm is shown to converge in reasonable
computational times. Extensive computational results for JFK Airport suggest that substantial delay
reductions can be achieved through limited changes in airline schedules. It is also shown that the
proposed integrated approach to airport congestion mitigation performs significantly better than the
typical sequential approach, where scheduling and operational decisions are made separately.
Source: Institute for Operations Research and the Management Sciences (INFORMS) Operations Research Nov-
Dec 2015
3.3.19 Capacity Planning Based on Scenario Tree and Passenger Motion Equation
Demand for air travel has increased in quantity and quality, like prefight services and communications
systems, necessitating more serious attention to air terminal capacity planning. Capacity planning,
especially when uncertainty exists about future levels of passenger demand is also considered,
becomes even more complex. The problem of random, multistage and nonlinear modelling must be
adapted to include a multi-commodity network flow structure which shows the flow of passengers at
terminals. In this paper a capacity planning approach is utilized based on the concepts of scenario tree
and motion equations of passengers, and implemented for passenger terminals of the two major
International Airports (IKIA & MIA) in Tehran, Iran. Results of mathematical programming model
for these case studies indicate that increasing the capacity of the passenger terminal in IKIA can
increase the productivity of the existing space and the whole airport which is also very economical. At
MIA, it would be necessary to increase the effective width of corridors and to increase number of
processing stations.
Source: Link
3.3.20 An integrated optimization approach to airport ground operations to foster sustainability in the aviation sector
With increasing air traffic, rising fuel costs and tighter environmental targets, efficient airport ground
operations are one of the key aspects towards sustainable air transportation. This complex system
includes elements such as ground movement, runway scheduling and ground services. Previously, these
problems were treated in isolation since information, such as landing time, pushback time and aircraft
ground position, are held by different stakeholders with sometimes conflicting interests and, normally,
are not shared. However, as these problems are interconnected, solutions as a result of isolated
optimization may achieve the objective of one problem but fail in the objective of the other one, missing
the global optimum eventually. Potentially more energy and economic costs are thus required. In order
to apply a more systematic and holistic view, this paper introduces a multi-objective integrated
optimization problem incorporating the newly proposed Active Routing concept. Built with systematic
perspectives, this new model combines several elements: scheduling and routing of aircraft, 4-
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Dimensional Trajectory (4DT) optimization, runway scheduling and airport bus scheduling. A holistic
economic optimization framework is also included to support the decision maker to select the
economically optimal solution from a Pareto front of technically optimal solutions. To solve this
problem, a multi-objective genetic algorithm is adopted and tested on real data from an international
hub airport. Preliminary results show that the proposed approach is able to provide a systematic
framework so that airport efficiency, environmental assessment and economic analysis could all be
explicitly optimized.
See paper
See website
3.3.21 Brazil airport uses new technology to expedite border control
Brazil’s Viracopos International Airport (VCP), which handled a record 10.3 million passengers in
2015, has implemented the latest Automated Border Control technology, as it aims for a faster and
enhanced secure passenger control process.
According to VCP, the innovative Automated Border Control solution implemented by multinational
Vision-Box allows for a faster passenger identification process, through eGates that ensure both passport
authenticity and biometric passenger verification through an automated and self-service process.
According to a statement released by the São Paulo airport, “the passengers are in control of their own
journey through immigration and emigration control, without directly interacting with the Federal
Police, as long as they are at least 18-years-old and hold a Brazilian electronic passport.”
“In this new process at the eGates, the passenger is identified in just a few seconds, using Vision-Box
advanced biometric technology. The system compares the facial image stored in the chip of the
passengers’ passport against the live captured image, all according to the highest quality and security
international standards, making sure that they are the genuine owner of the document,” according to a
VCP statement.
Source: Air Transport World Article Jan 13, 2016
3.3.22 Airport of the Future Project
This research project commenced in 2008 with a pilot study examining efficient security and passenger
flows. Following the success of the pilot, the Airports of the Future Project has grown into a five-year
multi-disciplinary program involving almost 30 research partners internationally.
The program aims to improve the safety, security, efficiency and passenger experience within Australian
airports by developing an integrated and adaptive complex systems approach for the design,
management and operation of airports.
The ability to analyze, re-engineer and manage large-scale, multi-stakeholder, multi-jurisdictional, and
socio technical systems requires significant advancement in both the understanding of ‘complexity
science’ and its application.
See more
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3.3.23 CASRA is involved in several research projects on X ray imaging for airport security
CASRA uses an adaptive approach by combining applied psychology, computer science and economic
analyses.
All software, methods and procedures are based on scientific research and are continuously improved
in close collaboration with experts and end users.
Our knowledge is provided to society through publications in scientific journals, conferences and
magazines.
CASRA is involved in several research areas:
The main aim of CASRA is to increase security and facilitation at airports and other environments
involving people and technology. We adopt an individually adaptive approach in which we combine
applied psychology, computer science, and economical analyses. Our software, methods and procedures
are scientifically based and are developed in close collaboration with end users.
Source: Link
3.3.24 Brussels airport implements planning tool to optimize stand and gate capacity
The quickest way for passengers to get to and from their aircraft is by a contact stand (air bridge) which
provides a short and direct route between airplane and terminal. During peak periods, when demand
outweighs availability, planes are forced to park at a distance, passengers board and disembark at remote
stands (air stairs) and take buses to the terminal.
Generally, remote stands are the less desirable option. In addition to inconveniencing airlines and
incurring extra costs through bussing, this slower method causes knock-on delays (remotely parked
planes have a longer baggage turnaround and add to passenger connection times).
BAC assign aircraft using a points system so, for example, reducing walking time for passengers; putting
two aircraft next to each other to make the job of the handling companies easier; or allocating a stand
based on a request of preference from airlines or handlers.
Brussels Airport now has a system that allows it to provide a much higher level of customer service for
both airlines and passengers. Since implementation, BAC has reported: • Higher planning efficiency •
Better utilization of the available resources • More transparency and visibility of aircraft locations during
the parking period • More accuracy in invoicing airline clients for using the stands.
Source: Qinetiq
3.3.25 SITA- Self-service mobile boarding pass
JetBlue required a self-service mobile boarding pass solution that could be tightly integrated with its
own customer mobile IT platform and strategy.
Of major importance to jetBlue in selecting the API was that:
JetBlue could retain control over the branding, design and targeted distribution of the boarding
passes in addition to the integration of the system into its own IT infrastructure and processes.
Boarding passes comply with TSA requirements.
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Apple Passbook was supported.
SITA can digitally sign barcodes for jetBlue.
JetBlue's in-house and mobile partner development resources use the Boarding Pass API to develop
mobile boarding pass apps for both Android and Apple devices. These apps are fully integrated with
other mobile apps that are available to JetBlue passengers including mobile booking, check-in, flight
status, and more. Passengers are also notified of real-time flight updates within the apps and via push
notifications.
In addition to providing jetBlue developers with complete flexibility in designing the appearance of the
boarding passes, the self-service nature of the API also enables them to code their own business rules to
enable intelligent distribution of passes to target specific categories of passengers based on specified
conditions.
With its secure and fully integrated Barcode Signing applications, SITA creates and signs the boarding
pass barcodes to TSA standards while JetBlue continue to manage their own relationship with the TSA.
JetBlue has also joined the TSA Pre?™ program offering passengers using mobile boarding passes all
the benefits of expedited screening at designated airports. TSA information is embedded in the barcode
of the pass and the Boarding Pass API console enables the passes to be customised for TSA notification
to the passenger.
Source: SITA
3.3.26 Qylatron can check 5 passengers and bags at a time
As part of a checkpoint of the future, Qylur’s solution – based on the Qylatron and utilizing fused,
artificial intelligence-based multi-sensor screening – will enable security professionals to detect new
threat envelopes. At the same time, the Qylatron will put an end to the inconvenience of passenger
divesture of personal items, such as clothing and laptops. This will significantly increase passenger flow,
lower overall operating costs, and provide drastic improvement to the passenger security experience.
The Qylatron Entry Experience Solution was trialled at the Arena da Baixada stadium in Curitiba, Brazil,
which hosted World Cup games. The machine uses an intelligent algorithm and array of sensors to scan
bags in seconds, as well as processing tickets to speed up security queues. this World Cup system can
check tickets and scan bags for five customers at a time. It can spot weapons and chemicals more reliably
than human searches. ‘The Qylatron automated detection system not only provided highly reliable bag
screening, it also put fans "back in charge" of their own belongings as the nature of the Qylatron allowed
fans to place their items into the honeycomb shaped device - that conducts five concurrent bag scans -
and expedite their entry into the stadium,’ said Hugo Ramos, director for Agogo Marketing
Promocional, which organised the security for some of the World Cup stadiums.
Oylatron scans the tickets and bags with far greater efficiency than humans, can detect security threats,
improve guest experience and cut security costs by up to 50 per cent.
Read more: Link
3.3.27 SITA- Proactive Baggage Assistance in Kuala Lumpur International Airport
A new SITA WorldTracer (WTR) baggage tracing app was successfully trialed in 2013-2014 by MAS
in Kuala Lumpur International Airport. The app, branded MHbag for the Malaysia Airlines trial, is
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designed for tablet devices and is a mash up of a number of SITA API's including the iTravel,
BagJourney and WTR APIs.
The airline deployed six agents throughout the airport with iPad tablets and Bluetooth connected Zebra
iMZ320 printers to deal with passenger baggage queries on the airport floor and to file lost bag reports.
The new process and app proved to be an efficient customer service tool for the airline, effectively
halving the average processing time for mishandled bag claims.
SITA Lab continued the development of the application and two additional ground handlers were
selected to trial the second version of the WorldTracer tablet app which included technical
enhancements and increased usability. SITA is currently productizing the WTR tablet application and
aims to have it ready for commercial launch in Q2 2015.
Source: SITA
3.3.28 SITA Application Programming Interfaces
SITA offers a number of APIs to developers of mobile technologies for airports:
Beacon Registry API: The Beacon Registry is a registry of common use iBeacons for the Air Transport
Industry (ATI). The registry is a SITA initiative and provides the following services: ...
Boarding Pass API: The Boarding Pass API is a managed service provided by SITA Lab allowing
airlines complete flexibility in the creation and distribution of mobile boarding passes...
BagJourney API: The BagJourney API provides a simple interface into the complex world of baggage
management by allowing the retrieval of the real time status of a specific bag
iTravel API: The iTravel API (Application Programming Interface) provides a simple, convenient and
cost effective alternative to the conventional development of airline ...
Flight Information API: Universal Flight Statistics and Information
Airport API: The Airport API is a 'Hello World' API to let you see how to register, get application keys,
use the Live Docs, and view your API usage....
More at Developer.aero
3.3.29 SITA- Streamlined Mobile Booking and Check-in
Malaysia Airline uses the SITA iTravel platform to provide a suite of mobile passenger apps. Easily
integrating functionality and data from SITA RES, SITA Fares, SITA WorldTracer, a Payment Gateway
and other airline provided web services, the apps enable passengers to book flights, check-in, view flight
status and schedules, view lost bag status and get mobile specific flight deals.
The Boarding Pass API is an integral part of the Malaysia Airlines’ solution delivering branded mobile
boarding passes via SMS, email, mobile web, Apple Passbook and Smartphone apps.
With just 4 easy steps, passengers can check-in and receive their boarding passes:
STEP 1: Launch the MHmobile app or log on to flymas.mobi.
STEP 2: Select Check-in.
STEP 3: Key in your 5-digit Booking Reference.
STEP 4: Receive 2D Barcode Boarding Pass.
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Source. SITA
3.3.30 iBeacons for passenger location and notification at major airports
IBeacons are being tested at several airports such as Heathrow, Luton and Gatwick in the UK, at Charles
De Gaulle in Paris, Tokyo’s Haneda Airport, Dallas Forth Worth in the US, plus others to measure
passenger low and offer notification.
Source: AppleInsider Staff, Friday, May 02, 2014,
Using iBeacon's microlocation functionality, Virgin Atlantic's new initiative will automatically surface
relevant information for passengers using iOS devices depending on their location in the airport. The
airline partnered with iBeacon hardware firm Estimote for the physical infrastructure, while a custom
pass in Apple's Passbook application provides the on-device interface.
Source: Future Travel Experience, 10 JUL 2014
easyJet is conducting trials of iBeacon technology, with pilots underway at London Luton, London
Gatwick and Paris Charles de Gaulle airports, Dallas Fort Worth
Source: IHS Jane's Airport Review, 25 June 2014.
The largest airport deployment of iBeacon location technology is under way with a six-month trial by
American Airlines (AA) at Dallas/Fort Worth International. AA is also the first airline to join the SITA
Common-use Beacon Registry, which was launched on 18 June during the SITA Air Transport IT
Summit in Brussels. The iBeacons use a Bluetooth low-energy (BLE) signal with geofencing to simplify
the travel experience by showing real-time, location-specific data on passengers' iPhones or iPads. The
trial at Dallas is intended to improve wayfinding in Terminal D by displaying walking times to gates
and giving real-time boarding updates to passengers.
Source: JAL press release, July 14, 2014JAL and NRI
At Haneda airport’s Domestic Terminal 1, beacon installed at each boarding gate can pinpoint the
location of JAL’s boarding gate staff with BLE devices. The information of each staff’s location and
the whole assignment can be simultaneously mastered by controller desk in back office. JAL aims to
serve passengers in immediate response and be able to efficiently assign staff in the front line by using
the advanced technology. Frontline staff can check and share the latest information related to their
business activities by using wearable device-smartwatch.
Source: ibeaconinsider October 3, 2014
Miami International Airport has become the very first airport in the world to fully utilize the power of
beacons. The airport has installed beacons at all entrances, including check-in counters, gates, and
baggage claim carrousels and even parking zones. By installing beacons throughout the airport, travelers
will be able to receive precise information on delayed flights, flight arrivals, boarding times and much
more. Passengers at Miami Airport will now have hyper-relevant updates at every point of their journey
through the airport. American Airlines has already taken note of beacon’s powerful potential by
launching test deployments of the technology at the Dallas/Fort Worth Airport.
Source: SITA
The Beacon Registry is a registry of common use iBeacons for the Air Transport Industry (ATI).The
registry is a SITA. It allows beacon owners (airlines, airports or 3rd parties) to manage their beacon
infrastructure and track where they are placed in an airport. It enables airports to monitor beacon
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deployment to prevent radio interference with existing Wi-Fi access points. It provides beacons owners
with a simple mechanism to set the 'meta-data' associated with beacon. It provides an API for app
developers who want to use these beacons for developing travel and other related apps.
3.3.31 Airport Efficiency benchmarking study 2014
The study does not specifically cover time efficiency, however there are useful statistics on international
airports. The efficiency is a measure of productivity defined by comparison of outputs/inputs.
Outputs: Aircraft movement, Passenger, Cargo, Non‐aeronautical revenue output.
Inputs: Labor, Other non‐capital (soft‐cost) input, Runways, terminal size, # of gates.
A summary presentation is available here
3.3.32 Multiple boarding pass for Ryanair and fees for discharged phones / tablets
Ryanair launched an updated version of its app today which allows you to not only browse and book
flights but also check-in and use your phone as a boarding pass. The airline company first launched its
app, charging customers €3 to download it. The services on the older version of the app were limited to
bookings, baggage check-ins and timetables. This updated version, however, is free to download on
in iTunes and for Android. It is available in English, Italian and Spanish, with further language versions
to follow, the company said.
Speaking in Dublin, Chief Marketing Officer Kenny Jacobs said the app is part of the company’s new
‘Always Getting Better’ programme which saw it ease up its strict carry-on baggage policy and simplify
its website. The app also allows multiple boarding pass. However, 2 problems remains:
- Only 90% of the airports are compatible with the service and they are not listed on RyanAir website
- If your smartphone / tablet is discharge, you will have to pay 15£ or 19€.
3.3.33 Managing Passenger Handling at Airport Terminals
An efficient handling of passengers is essential for reliable terminal processes. Since the entire progress
of terminal handling depends on the individual behavior of the passengers, a valid and calibrated agent-
based model allows for a detailed evaluation of system performance and for identifying optimization
capabilities. Our model is based on a stochastic approach for passenger movements including the
capability of individual tactical decision making and route choice, and on stochastic model of handling
processes. Each component of the model was calibrated with a comprehensive, scientifically reliable
empirical data set; a virtual terminal environment was developed and real airport conditions were
evaluated. Our detailed stochastic modeling approach points out the need for a significant change of the
common flow-oriented design methods to illuminate the still undiscovered terminal black box.
It also includes an interesting overview of boarding strategy and shows that "random" boarding strategy
is the most efficient.
More info: Link
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3.3.34 IATA Fast Travel
The Fast Travel Program was created to drive projects that provide a range of self-service options to
meet growing customer demands, continue to reduce industry costs, improve efficiency of airport
infrastructure and enhance customer service.
The Fast Travel Program currently covers six projects:
Check-In: covering existing three self-service check-in channels (kiosk, web and mobile) with a
special focus on Mobile Services and NFC technology
Bags Ready to Go: Self-Service Baggage Process including self-tagging and bag drop.
Document Check: Self-Service Document Check
Flight Re-Booking: Self-service irregular operations recovery
Self Boarding: Fully automated boarding gates and self-scanning option
Bag Recovery: Self-service claim registration
The objective of the Fast Travel Working group is to develop global standards to facilitate global
implementation for each of the covered area. The working group will:
Develop sound business cases demonstrating industry wide cost savings for each project.
Develop standards for each area of process.
Liaise with other standard making bodies such as A4A and ACI.
Encourage ‘harmonised’ implementation of these processes by developing relevant
Recommended Practices and Implementation Guides.
Engage with regulatory bodies such as the TSA and EU Commission
IATA’s Fast Travel Program is providing self-service options in six areas of a passengers’ airport
journey - representing annual savings of up to US$ 2.1 billion for the industry. By creating uniform
standards and recommended practices, IATA will facilitate industry adoption of these projects – and a
better travel experience for the customer.
Read more here
See more here
See also passenger facilitation.
3.3.35 Baggage Tray System or BTSTM
The BTS provides efficient and secure transportation and sortation of passenger bags from check-in
counters to baggage make-up areas. Unlike conventional systems where bags are placed directly on
conveyor belts, Daifukus new system provides precise handling and tracking by transporting bags on
individual trays.
BTS also boasts one of the world’s fastest conveyor speeds at 600 meters per minute. The modular and
reliable baggage handling system will improve efficiency at busy airports worldwide.
See more info here
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3.3.36 CLEAR: Biometrics at the Airport
The careful process to ensure better security in airports and on the planes themselves is slow. However,
the TSA, along with private industry is working to speed up the process by allowing passengers to
voluntarily join the Registered Traveler program, undergo background screening and provide various
pieces of biometric data, the results of which allow “cleared” passengers to move more quickly through
the security process.
Link
3.3.37 World's First Commercial Real-Time Concealed Weapons Detection Camera
Microsemi Scanning Systems utilize Passive Millimeter Wave (MMW) technology to provide detect
metal, non-metal, ceramic, explosive and liquid materials. By emitting no harmful radiation, Passive
Millimeter Wave Technology provides a safe way to scan while producing no anatomical details,
protecting personal safety and privacy.
Link
See also: Microsemi
3.3.38 FAST -- Future Attribute Screening Technology
The DHS Directorate of Science and Technology (S&T) conducts homeland security research and
leverages the scientific, engineering, and technological resources of the United States into technological
tools to help protect the homeland. The Director of Innovation’s mission is to support basic, applied,
and advanced homeland security research to advance technologies that will promote homeland security.
FAST is one such technology. FAST seeks to improve the screening process at transportation and other
critical checkpoints by developing behavior-based screening techniques that will provide additional
indicators to screeners to enable them to make more informed decisions. FAST is not intended to provide
“probable cause” for law enforcement processes, nor would the FAST technology, once deployed
operationally, replace or preempt the decisions of human screeners.
The baseline for the project is the development and validation of the Theory of Malintent.
Malintent is the intent to cause harm. Although individuals may experience malintent in a variety of
situations, the specific focus of FAST is identifying individuals who exhibit physiological indications,
which in the specific screening settings, are determined to be associated with malintent. Behavioral
scientists hypothesize that someone with malintent may act strangely, show mannerisms out of the
norm, or experience extreme physiological reactions based on the extent, time, and consequences of the
event.
The FAST technology design capitalizes on these indicators to identify individuals exhibiting
characteristics associated with malintent.
Source: Link
3.3.39 Walk-By System 350: Efficient Threat Detection
The Walk-By System 350 is part of the Millivision family of products that relies on Millivision’s
Passive Millimeter Wave Technology. Millimeter wave imaging is a passive technology that does not
generate any harmful radiation. As such, it is totally safe for both operators and scanned subjects.
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The Walk-By System 350 scans for medium- and large-sized objects, such as knives, handguns, assault
rifles, body bombs, and other improvised explosive devices concealed under clothing. It can detect a
broad array of concealed threats that may be composed of metal, plastic, liquid or composite materials.
Source: Link
3.3.40 Securidox – iConfirmMobile – 2Dbar codes
Key Business Drivers:
No upfront capital costs for a flexible and scalable solution based upon standard technology
platforms
A hosted solution which offers low implementation and operating overheads
Can be integrated with all major reservation and Departure Control Systems
Compatible with most modern handsets and mobile devices including PDA’s and smart
phones
Enhanced customer satisfaction and perception provided by a simple and efficient service
Ability to automatically check-in regular flyers and premium customers
Substantial cost savings in personnel through reduced check-in time and fewer misplaced
documents
Additional revenue opportunities by using Premium SMS messages and sales of advertising
messages
Source: Link
3.3.41 MATERNA Bagage Drop-Off Solutions
The main objective of our baggage handling solutions is to reduce the time needed for baggage check-
in and to provide the most convenient service for passengers by Common Use Baggage Check-in
systems.
Source: Link
3.3.42 SMARTPASS -- Passenger Tracking and Boarding Pass Validation
SmartPass provides airports and airlines with numerous benefits, including:
Increased cost savings - Validation process is faster and more efficient than manual processes;
passenger processing time is decreased; airports and airlines are positioned to realize staffing
optimization at checkpoints.
Security capabilities beyond what manual processes can deliver - SmartPass provides
capabilities for detecting forged boarding passes and identifying duplicated boarding passes.
SmartPass automatically validates the airport, date, digital signature, etc., and indicates
passenger status (e.g. Selectee, Priority, etc.). SmartPass also expedites the process of locating
passengers in the event of a security breach.
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Enhanced passenger experience - Monitoring of passenger wait times at various queuing areas
allows resources to be deployed where they are most needed based on changing passenger
volumes.
Enhanced information gathering and storing - SmartPass gathers and stores information into a
database. The information is readily accessible to users via the SmartSuite Web Client.
Enhanced information retrieval and reporting capabilities - Airline, airport, and security
personnel access real-time information via the SmartSuite Web Client. Informed departure
decisions can be made based on quick checks of infomation such as the last known location of a
passenger; a passenger's movement through an airport, security checkpoints and/or shopping
areas; a passenger's checked bag location; and passenger counts and wait times.
Enhanced information sharing - Passenger scan information can easily and expeditiously be
shared by airports, airlines, and security authorities. Standard IATA PADIS messaging is the
channel for sharing passenger information between multiple systems.
Enhanced airport and airline marketing/business growth - Information gathered from SmartPass can be
used effectively on market research campaigns to maximize revenue for airlines and airports.
Source: Link
3.3.43 Study of Airport Self-service Technology within Experimental Research of Check-in Techniques
This intensive and extensive study as the relevance and impact of self-service technology to consumers
in general and especially to passengers since they have many uses in international airports, Therefore I
have prepared a model that includes all applications of self-service technology in all international
airports and specifically focused on the Common Use self-service technology (CUSS) and compared
with a corresponding system in the function is called Common User Terminal Equipment (CUTE) This
comparison shows the difference between them and proves that self-service technology help to raise the
efficiency and performance of airports and airlines.
Source: Link
3.3.44 The Application of Biometrics at Airports
The use of biometrics for passenger facilitation will benefit air carriers (which may use in the first inst
ance to provide a higher level of service to their premium passengers, and members of their frequent fl
ier programmes) and government authorities through the use of ICAO and ISO MRTD standards. Airp
ort operators may also benefit from the use of biometric systems to improve passenger throughput; ho
wever, the impact on the airport’s passenger handling capacity will be largely dependent on how air ca
rriers decide to deploy biometric systems. A “commonuser” interface approach for biometrics benefits
airport operators for checkin, security screening, passenger segregation boarding and border clearance.
A proliferation of different biometric systems amongst air carriers and between air carriers and border
control authorities would not deliver an improvement in passenger handling.
Ref: http://www.aci.aero/aci/aci/file/Free%20docs/ACI%20Biometric%20Position%20FINAL.pdf
3.3.45 Euro Control CDM Landside Modeling
The EUROCONTROL Experimental Centre has tasked the Airport Research Centre to conduct an
analysis inside Airport Terminals using the CAST simulator, to understand the impact of three SRA-2
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HLTCs, Highly Time Efficient, Highly Customer Orientated and Highly Secure. The CAST modeling
approach will be complement with the view of aviation stakeholders expressed through interviews to
provide an operational perspective of the airport of the future linked to the visions of SRA-2.
This will provide a set of realistic scenarios to simulate 2020 visions. The Frankfurt Terminal 2 has been
chosen as representative airport terminal and the process chains used in this airport have been adapted
to the measures suggested in the generation of the scenarios.
The CDM manual is also found here
3.4 Transport Time Efficiency-Intermodality
3.4.1 GoEuro Multi-mode travel platform
GoEuro has launched a multimode transport platform that allows passengers to choose among different
modes of transport and see the associated cost and travel time. The platform, available on its website or
as app, calculates cost and duration of travel of different mode of travel for major cities in Europe.
Coverage is currently limited, but it is optimized for UK, Germany, Spain, Belgium, Netherlands and
Luxembourg.
Reference: Link
3.4.2 Passenger tracking sensors help reduce travel times
Blip monitors Wi-Fi and Bluetooth signals from mobile phones and analyze passenger flow data in order
to improve the passenger experience by:
Providing passengers real -time feedback on wait times,
Providing airport staff the data needed to identify bottlenecks and improve operational
efficiency
In addition to monitoring passengers at JFK and Cincinnati, the BlipTrack solution also measures in
Toronto, Dublin, Amsterdam, Barcelona,
Manchester, Dubai, Milano, Auckland, Oslo, Helsinki, Milano, Brussels, and Copenhagen airports. The
solution is also employed in optimization efforts in road traffic in the US, Canada, Australia, New
Zealand, Denmark, UK and Switzerland, at railway stations in the Netherlands, and at the world’s
busiest passenger port in Dover.
Source: Link
3.4.3 Check-in the day before your flight, at the train station, the air terminal, ...
In Switzerland, you can Check-in at the rail station when you fly from Zurich, Geneva or Bern Airport
the day before take-off. At the same time, you’ll also receive your boarding card complete with seat
assignment. This gives you more time on the day of departure. And ensures a more leisurely start to
your trip – without having to haul your bags to the airport or wait at the check-in counter.
http://www.sbb.ch/en/station-services/services/baggage/check-in-at-the-railstation.html
http://www.zurich-airport.com/passengers-and-visitors/arrivals-and-departures/check-in-methods
For flights on Air France departing from CDG on August 1st and 2nd, Air France will open check-in
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and baggage drop counters at its air terminal, Place des Invalides, in central Paris.
More info: http://www.easytravelreport.com/Air-France-baggage-translation-2014-August.html
In parallel more and more companies allow web check in and mobile check in and specific counters
are allocated at the airport for luggage drop off. There are also self-check in luggage drop off counters
where travellers do their own check in:
http://www.klm.com/travel/gb_en/prepare_for_travel/checkin_options/airport_checkin/index.htm
3.4.4 Intermodal Augmented Scheduling
Intermodal Augmented Scheduling” is intended to show how the information exchange between the
transportation providers and the passenger when there is a change in the transport chain guarantees the
best possible continuation of the journey. The passenger is immediately offered alternative travel
routes (even involving other transport modes) via his mobile device.
3.5 Transport Time Efficiency-Ground Transport
3.5.1 Travel time efficiency by THALYS
Thalys is an international high-speed train operator originally built around the LGV Nord high-speed
line between Paris and Brussels. They have made a study about travel time efficiency, comparing rail
and air travel between etween Paris and Amsterdam, or between Paris and Cologne or Düsseldorf.
"We are developing services and technologies which enable our customers to save time: we are creating
added value to your travel time. We are implementing plans to reduce our carbon footprint. And to do
all of this, we are moving fast: Ticketless train travel since 2004, door-to-door travel via ThalysConnect
since 2005, thalys.mobi since 2006, on board Wi-Fi in all trains since 2008, Amsterdam and Cologne in
3 hrs 18 mins and 3 hrs 14 mins from Paris and in 1 hr 53 mins and 1 hr 47 mins from Brussels since
December 2009, private lounges since 2010, the MobileTicket since 2011, Düsseldorf in 3 hrs 47 mins
from Paris and 2 hrs 20 mins from Brussels from August 2011 (Thalys now travels to Duisburg and
Essen)."
The time efficiency survey determined that in terms of overall cost or in terms of productivity, high-
speed rail provided by Thalys has advantages over against air travel as the best option for journeys
taking a total of between 2 and 4 hours. Some of the factors considered ion the evaluation were cost,
overall journey time, distance to and from airport or railway station, productivity (for working), comfort
and services offered.
Reference: Link
3.5.2 JRC 500 km/h Maglev Train under development in Japan
Central Japan Railway Co. continues development of its 500 km/h maglev train, due to go into service
in 2027.
Central Japan Railway Co. plans to begin work on the 5.1 trillion yen ($52 billion) maglev line between
Tokyo and Nagoya as early as April (2014). Trials resumed today after the company spent five years
building a 24-kilometer extension of a test track. The trains can run at speeds of up to 500 kilometers
(310 miles) per hour.
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Maglevs use magnetic power to propel trains that float above the ground, traveling at almost double the
270 kmh of current bullet trains between the two cities. The Japanese company’s bullet trains carried
more passengers last year than any airline in the world.
Source: Link
3.5.3 Scooter suitcase gets you to airport
A new concept in mobility from China allows you to go up to 60 km at 20 km/hr. on your way to the
airport. A farmer in China, He Liang, has invented a motorized suitcase which can reportedly carry your
clothes and take you to the airport at the same time. The special suitcase, which He has spent 10 years
developing, is dubbed the City Cab. There is apparently just as much space to keep your clothes as with
normal luggage and when it's empty it weighs just 7kg (15lb). The newspaper says City Cabs has now
been patented as a multi-functional travel device, and He is hoping to see it on the road soon.
Read more
Source: BBC News (2014)
3.5.4 High Speed Trains reduce travel times in China
Improving the infrastructure, especially high-speed rail, will be critical. According to Zhang Gui, a
professor at the Hebei University of Technology, Chinese planners used to follow a rule of thumb they
learned from the West: All parts of an urban area should be within 60 miles of each other, or the average
amount of highway that can be covered in an hour of driving. Beyond that, people cannot effectively
commute.
High-speed rail, Professor Zhang said, has changed that equation. Chinese trains now easily hit 150 to
185 miles an hour, allowing the urban area to expand. A new line between Beijing and Tianjin cut travel
times from three hours to 37 minutes. That train has become so crowded that a second track is being
laid.
Now, high-speed rail is moving toward smaller cities. One line is opening this year between Beijing and
Tangshan. Another is linking Beijing with Zhangjiakou, turning the mountain city into a recreational
center for the new urban area, as well as a candidate to host the 2022 Winter Olympic Games.
“Speed replaces distance,” Professor Zhang said. “It has radically expanded the scope of what an
economic area can be.”
Source: New York Times JULY 19, 2015
3.5.5 Self-driving cars and buses becoming more common
Self-parking cars are already on the road since 2003 with the Toyota Prius offering an automatic parallel
parking capability offered as an option. Since then over a dozen makes and models of cars are available
with self-parking capability.
Google has been working on a self-driving car since 2009. Today various major car companies are
working on self-driving prototypes.
Nissan announced at the Tokyo Motor Show on Oct 27 2015 that it will offer partially autonomous
vehicles starting as soon as next year, and it will start selling fully autonomous cars by 2020.
Toyota Investing $50M with Stanford, MIT for Autonomous-Car Research.
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According to Wikipedia:
By 2016, Mercedes plans to introduce "Autobahn Pilot" aka Highway Pilot, the system allows
hands-free highway driving with autonomous overtaking of other vehicles.
By 2016, Mobileye expects to release hands-free driving technology for highways.
By early 2017, the US Department of Transportation hopes to publish a rule mandating vehicle-
to-vehicle (V2V) communication by an as-yet unspecified deadline. GM says that by the 2017
model year, the Cadillac CTS will be V2V equipped.
By 2018, Elon Musk expects Tesla Motors to have developed mature serial production version
of fully self-driving cars, where the driver can fall asleep. However, he expects they would be
allowed only some years after that, due to regulatory issues.
By 2018, Mobileye expects autonomous capabilities for country roads and city traffic.
By 2018, Nissan anticipates to have a feature that can allow the vehicle manoeuver its way on
multi-lane highways.
By 2020, Volvo envisages having cars in which passengers would be immune from
injuries. Volvo also claims vehicles will effectively be "crash free."
By 2020, GM, Mercedes-Benz, Audi, Nissan, BMW, Renault, Tesla, Google and Toyota all
expect to sell vehicles that can drive themselves at least part of the time.
By 2020, Google autonomous car project head's goal to have all outstanding problems with the
autonomous car be resolved.
By 2024, Jaguar expects to release an autonomous car.
By 2025, Daimler and Ford expect autonomous vehicles on the market. Ford predicts it will have
the first mass-market autonomous vehicle, but released no target date.
By 2025, most new GM vehicles will have automated driving functions as well as vehicle-to-
vehicle communication technology.
By 2035, IHS Automotive report says will be the year most self-driving vehicles will be operated
completely independently from a human occupant’s control.
By 2035, Navigant Research forecasts that autonomous vehicles will gradually gain traction in
the market over the coming two decades and by 2035, sales of autonomous vehicles will reach
95.4 million annually, representing 75% of all light-duty vehicle sales.
By 2040, expert members of the Institute of Electrical and Electronics Engineers (IEEE) have
estimated that up to 75% of all vehicles will be autonomous.
At the 2015 Tokyo auto show Nissan announced that it will offer partially autonomous vehicles starting
as soon as next year, and it will start selling fully autonomous cars by 2020.
A driverless bus is currently being tested in Trikala, Greece.
Trials of the CityMobil2 buses, funded under European FP7 program started in October 2015 and will
last through February 2016.
Reference: Link
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3.5.6 Aero-Train for high speed ground transport
Serving as the driving force behind the Aero-Train is a phenomenon known as the ground effect, which
dramatically improves energy efficiency. When an aircraft flies close to the ground, interference
between the wings and the ground surface simultaneously produces a sharp rise in lift, and a significant
decrease in drag. Conceptual image of a completed Aero-Train service (with capacity for 360
passengers). If put into practical use, Aero-Trains running entirely on natural energy could cover a
distance of approximately 500km in one hour, much faster than conventional bullet trains, while using
significantly less energy in the process.
The Prototype No. 3 of the Aero-Train is currently engaged in repeated testing on a test course, and last
year achieved a top speed of 200 km/h with two passengers on board. The tests have produced promising
results—per-unit energy consumption is less than half that of a conventional bullet train, and roughly a
fifth of a linear motor (mag-lev) train. When adopted for practical use, the aim is to run the Aero-Train
entirely on natural energy by covering the top portion of the guide-way with solar panels obtaining
power from a special pantograph.
The Aero-Train is being targeted for practical application sometime between 2020 and 2025. Based on
these research results, concepts for introducing the Aero-Train around the world have been produced,
with possible uses including shuttle-type lines that would link outlying airports with city centers at
speeds of 500 km/h.
Read more: Future transport - greener ways to get around
3.5.7 Lyft acquires Hitch, prepares for carpooling war with Uber
Shared rides are now the new rage in the transportation industry with more companies entering the
market to get their slice of its growing success. One of the first services that offered the carpooling
practice was Hitch, a startup which was eventually followed by Lyft Line, UberPool and Sidecar Shared
Rides. Now, Hitch is joining Lyft in order to enhance the company's own shared ride services.
While the financial terms of the deal were undisclosed, it is safe to say that it would result in the shutting
down of Hitch and that its founders will be bringing over to Lyft what they had built at Hitch.
"We're very early on in terms of where the product can be in a few years," said Chris Lambert, chief
technology officer at Lyft. "The Hitch team will definitely help us expand to more markets."
Lambert is one of those who were impressed with Hitch and its technology. One such technology is built
on the idea of learning more about the person that one is carpooling with and finding out shared interests
or common friends.
Hitch uses this concept in carpooling. The person looks for a ride and tells the app about his destination
and the number of passengers that are taking the same ride. If another person's ride request would
indicate that he is going in the same direction, the app will create the best route possible for the
convenience of both passengers.
Carpooling enables the passenger to enjoy a ride discount of up to 60 percent, that is, if he doesn't mind
sharing the ride with strangers.
Quite amusingly, both Sidecar and Uber have launched similar carpooling services on the same day.
Both have their own discount schemes that are offered to passengers who are sharing the ride with
strangers after confirming that they are going in the same direction.
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Prior to acquiring Hitch, Lyft had also acquired Cherry, an on-demand car-washing app, and Rover, a
transit company.
Hitch, an app owned by Corral Labs, is founded by Noam Szpiro and Snir Koesh. They are both joining
Lyft after they shut down Hitch's service. Lyft said that it is hosting a kickoff event as a way to make
the transition as smooth as it can be for Hitch drivers.
Most ride-sharing apps now offer a carpool option for passengers. However, California state regulators
may soon conduct a crackdown on the carpool services. Last week, the Public Utilities Commission sent
letters to each of the popular carpooling services and said that the practice of carpooling is a violation
of the state law.
Source: Link
3.5.8 LA to San Francisco in half an hour moves closer: Elon Musk reveals plans for 'Hyperloop' test track in Texas
When it was launched, it seemed little more than a pipe dream. Now, Billionaire inventor Elon Musk
has revealed he plans to build a test track for Hyperloop, a futuristic plan for a new type of transport that
would shoot capsules of passengers along a tube at around the speed of sound.
Musk, one of the brains behind the online payment system PayPal, and SpaceX claims his solar-powered
'Hyperloop' could herald a revolution in travel - and is building the test facility to prove it.
He believes it would take just 30 minutes to travel the 381 miles from Los Angeles to San Francisco –
half the time it takes in a plane – and likened the passenger experience to Disneyland's rocket ride Space
Mountain.
Now, the plans are beginning to take shape. 'Will be building a Hyperloop test track for companies and
student teams to test out their pods. Most likely in Texas,' Musk tweeted.
A new firm, Hyperloop Transportation Technologies, is developing plans to makes the tubes a reality -
and it has recruited experts from around the world.
The crowdsourced firm has around 100 engineers on the projects, and nearly all of them have day jobs
at companies like Boeing, NASA, Yahoo!, Airbus, SpaceX, and Salesforce.
Dirk Ahlborn, the CEO of the new company, says it seemed the perfect way to develop the plans, with
a site called JumpStartFund that aimed to crowdsource ideas.
He got in touch with SpaceX, Musk's firm, and the work began.
The team includes about 25 UCLA graduate architecture students at a facility in Playa Vista, although
most members work remotely.
Ahlborn hopes to have a technical feasibility study finished in mid-2015, according to Wired.
So far, the team has made progress in three main areas: the capsules, the stations, and the route.
'They look at this like a blank sheet of paper on which they can realize their fantasies,' UCLA professor
Craig Hodgetts said.
Musk's idea is based on the pneumatic tubes that fire capsules of paperwork between floors in offices.
In this case, the capsules would carry people – even cars – in low-pressure tubes to minimize turbulence
and maximize speed.
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On top of pylons is a hovering capsule inside a low-pressurized tube, which can reach speeds of up to
760 mph.
'The only resistance would be the air in front of the capsule, which we moved to the back by using a
compressor,' Hyperloop CEO Dirk Ahlborn said.
At its launch, Musk described the Hyperloop design as looking like a shotgun, with the tubes running
side-by-side for most of the journey, then closing at either end to form a loop.
Trains of capsules would shoot through the almost air-free tube at up to 760mph, accelerated by magnets
which would also keep each pod on a steady course.
Each capsule would float on a cushion of air it creates as it speeds along – similar to an air hockey table.
Capsules carrying six to eight people would depart every 30 seconds, with tickets costing around £13
each way.
In his proposal released online, Musk wrote: 'Short of figuring out real teleportation, which would of
course be awesome (someone please do this), the only option for super-fast travel is to build a tube over
or under the ground that contains a special environment.'
The proposed route of the first Hyperloop follows Interstate 5, which runs through the agriculture-rich
Central Valley in California. It would take seven to ten years to build.
Musk put the price tag at around £4billion but pointed out that that is around one-tenth of the projected
cost of a high-speed rail system that California has been planning to build.
However, transport experts received the proposal with skepticism, citing barriers, such as the threat of
earthquakes in the region.
Musk has said he is too focused on other projects, for example his rocket building company SpaceX, to
consider building the Hyperloop, and instead is publishing a design that anyone can use or modify.
Musk said he started thinking about the idea when plans for a 130mph (210km/h) high-speed train
connection between LA and San Francisco were revealed, but now he has detailed his own version
on Tesla's site
Reference: Link
3.5.9 Near-Supersonic Hyperloop Ground Transport (same as previous)
Elon Musk, the CEO of SpaceX and Tesla, plans to invest in a new mode of ground transportation he
calls the Hyperloop. Musk, announced in January 2015 that he decided to help accelerate development
of his vision for near-supersonic tube transportation, first outlined in August 2013. The system uses
solar-powered electromagnetic pulses to propel pressurized cabins inside elevated tubes to near
supersonic speeds.
Musk said he will build a five-mile test track for the still-theoretical system for students and companies
to use (more here)
The Hyperloop is a conceptual high-speed transportation system popularized by entrepreneur Elon Musk
incorporating reduced-pressure tubes in which pressurized capsules ride on a cushion of air that is driven
by a combination of linear induction motors and air compressors. The system is capable of top speed of,
near the speed of sound (1236 km/h).
(More here)
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3.5.10 5 Ideas That Could Change the Future of Trains
The concepts for improving the future train travel experience are:
More Trains, Period
Self-Driving Trains
Riding In Style
Smartcards for Everyone
High-Speed Rail and Maglev
See the full article here
3.6 Transport Time Efficiency – Security
3.6.1 Safety improves further in 2015
The jet hull loss rate for members of IATA, however, was 31% better, at 0.22 or one accident for every
4.5 million flights. Like the overall jet safety figure for 2015, IATA members were 31% better than the
five year rate for 2010-2014.
The four accidents in 2015 that resulted in passenger fatalities, 136 in total, all involved turboprop
aircraft. This compares with an average of 17.6 fatal accidents and 504 fatalities per year in the previous
five-year period (2010-2014).
The loss of Germanwings flight 9525 through pilot suicide and Metrojet flight 9268 from suspected
terrorism, resulting in the deaths of 374 passengers and crew are tragedies that occurred in 2015. They
are not, however, included in the accident statistics as they are classified as deliberate acts of unlawful
interference.
“2015 was another year of contrasts when it comes to aviation’s safety performance. In terms of the
number of fatal accidents, it was an extraordinarily safe year. And the long-term trend data show us that
flying is getting even safer. Yet we were all shocked and horrified by two deliberate acts--the destruction
of Germanwings 9525 and Metrojet 9268. While there are no easy solutions to the mental health and
security issues that were exposed in these tragedies, aviation continues to work to minimize the risk that
such events will happen again,” said Tony Tyler, IATA Director General and Chief Executive Officer.
Source: Airlines International - IATA
Date: 17 February 2016
3.6.2 Sensor fault diagnosis using a non-homogeneous high-order sliding mode observer
The proposed solution is based on a non-homogeneous high-order sliding mode observer used to
estimate the faults, theoretically in finite time and in the presence of bounded disturbances. The sensor
faults are estimated for the class of systems satisfying the structural property of strong observability. A
key feature of the proposed solution is concerned by the effect that measurement noise could have on
fault reconstruction. It is shown that the fault estimation error is bounded in the L∞-norm sense, and an
upper bound is theoretically derived. The method is applied to the problem of sensor fault estimation of
a large transport aircraft. Simulation results as well as a pilot experiment are presented to demonstrate
the potential of the proposed method.
Source: Link
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