Cooperative Traffic ICT

TIVIT Results and Strategy Seminar 14.4.2009 Dipoli

Hannu Hakala

Technology Centre Hermia

Cooperative Traffic ICT

• Vision: Traffic 2.0: Future traffic can be seen as a cooperative system, where devices, vehicles and infrastructures are context aware and capable of providing the needed information seamlessly and on time.

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Traffic 2.0 is all about location and context. Behind the scenes, the change is driven by information fusion and aggregation.

CoopTraffic, 7/2008 – 6/2012

Vehicle level System level

Sensor level User level

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Programme structure & foreseen results

Cooperative Traffic ICT Management & Integration

I) Intelligent sensors, data

fusion and sensor based applications

II) Information management and decision support

III) Applied communication

IV) Pilots for Scenarios &Mgmt and

cooperation of Pilot Sites

V) Targeted topics

Sensor data fusion and applications

(SDFA)

Parking guidance andinformation (PGI)

Pre-study on R&D possibilities (PsR&D)

Management and cooperation of pilots

(MCP)

Management of CT ICT

(SDFA)

Environment sensing technologies (EST)

ITS Corridor (ITSC)

OpenTrafficMap (OTM)

Real Traffic Info (RTInfo)

Demand responsive PT (DRPT)

Economic driving of trucks & buses (EDTB)

(MCP)

Tampere Region ITS Test Site (TRETS)

100k Pilots (100k)

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Sensor Data Fusion and Applications – SDFA 1/3

Targets: Sensor data collection, data fusion methods and tools, a

toolbox of solutions, the model specification and architecture of the in-vehicle data fusion module, prototypes and demonstrators

Approaches: Two sensor data sources Nokia N95 & Instrumented

vehicle (VTT)

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Sensor Data Fusion and Applications – SDFA 2/3

Pilots & tests: Demo system: Client-server system for developing

and demonstrating data processing, fusion and presentation.

1st Case: N95 bump / pothole detector, 2nd case: Using sensors in the instrumented vehicle

Results: SoA review, scenarios, high level reqs, collected data sets,

data pre-processing, synchronisation and fusion solutions

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Sensor Data Fusion and Applications – SDFA 3/3

Pothole: 50m

2. Store sensor data

1a. Sensors:-Acceleration

-GPS

4. Visualization of recognized objects

Response:GPX format

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1b. Sensors:-Radar-Inertial

-Acceleration-GPS

File I/O

GPX format

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Environment Sensing Technology – EST 1/3

Targets: to develop systems and solutions for high-accuracy radio

sensing and object recognition

Approaches: Millimeter wave frequency range, RFID-type tags to

communicate with objects (millimeter wave identification, MMID), Secondary radar principle (transponder), Vehicle-mounted or handheld device implementation

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Environment Sensing Technology – EST 2/3MMID example: Traffic assistance

Setting: Driver has a screen with visual image of road ahead + scanning MMID tag reader

Clickable items on the display:

� Destination information, driving time, road

condition, navigate (y/n)� Remaining green/red light

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� Remaining green/red light time

� Car information (driver ID, speed)

� Passenger indicates a stop to a bus driver

Radar functionality adds distance information to

objects

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Environment Sensing Technology – EST 3/3

Pilots & tests: Passive imaging feasibility study, remote RFID

concept (MMID)

Results: Passive millimeter wave imaging feasibility study, System

architecture definition for MMID platform, System architecture definition for mm-wave radar platform, Simple MMID demo illustrating physical aspects of system (pointing capability/angular resolution, reading range)

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Visual image vs. passive mm-wave image of a meeting room (94 GHz)

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WiSafeCar –Wireless traffic Safety network between Cars 1/2

Targets: The aim is to establish a reliable & efficient data management system for a wireless traffic service platform consisting of different wireless access technologies, by applying secure content-centric networking technique.

Approaches: Media-independent data management/forwarding scheme optimizing data flow, handling data based on its content and thus avoiding multiple transmissions of the same content over limited wireless links

VSN architecture to extract feedbacks from individual sensed data

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VSN architecture to extract feedbacks from individual sensed dataLight-weight &real-time security countermeasure at architecture level

which enables content-centric networking and assures that the contents of all incoming packets are trustworthy and are what the node is willing to have.

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WiSafeCar – 2/2

EUREKA/CELTIC Project (CELTIC-ref. CP6-015)Starting in July09Participants:Finland: Mobisoft (Co-ordinator), Finnish Meteorological Institute, VTT,

Infotripla, Taipale Telematics, Sunit; France: France Telecom / Orange Labs, LASMEA (Blaise Pascal

University), TRIALOG, Paul Verlaine university of Metz, VALEO; Luxembourg: University of Luxembourg, Synergiums, CRP Henri Tudor,

Ubistream; Spain: Gradiant, ETRA I+D, MOVIQUITY, Quobis Networks, CTAG;

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Spain: Gradiant, ETRA I+D, MOVIQUITY, Quobis Networks, CTAG;Turkey: Ford Otasan, University of Galatasaray

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Next steps

Programme structure

Applications, services

Content, data formats, access, infra

Devices, sensor & data fusion

Applications, services& service provision

Appliedcommunication

Technology Applications Pilots Business

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Current CT projects

Cooperative Traffic ICT Management & Integration

I) Intelligent sensors, data fusion and sensor based

applications

II) Information management and decision support

III) Applied communication

IV) Pilots for Scenarios &Mgmt and cooperation of

Pilot Sites

Sensor data fusion andapplications (SDFA)

Parking guidance andinformation (PGI)

Environment sensing technologies (EST)

ITS Corridor (ITSC)

Pre-study on R&D possibilities (PsR&D)

Management and cooperation of pilots (MCP)

Tampere Region ITS Test Site (TRETS)technologies (EST)

OpenTrafficMap (OTM)

Real Traffic Info (RTInfo)

Demand responsive PT (DRPT)

Economic driving of trucks & buses (EDTB)

Site (TRETS)

100k Pilots (100k)

Continuing project

Under replanning

Cancelled project

WiSafeCar New project

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Planning for the second year

Cooperative Traffic ICT Management & Integration

I) Intelligent sensors, data

fusion and sensor based applications

II) Information management and decision support

III) Telematics platform and

applied communication

IV) Pilots for Scenarios

V) / Technology enablers

Sensor data fusion and applications

(SDFA)

Parking guidance and information (PGI)

Pre-study on R&D possibilities (PsR&D)

Tampere Region ITS Test Site (TRETS)

Enabling pay as you drive

VI) Control room

New project

(SDFA)

Environment sensing technologies (EST)

OpenTrafficMap (OTM)

Real Traffic Info (RTInfo)

Demand responsive PT (DRPT)

Economic driving of trucks & buses

(EDTB)

100k Pilots (100k)

Continuing project Under replanning

New project

WiSafeCar

New project

New project

New project

New project

User interaction tools in a car environment

Parking system

Acceptance of the traffic ecosystem services

Field testing of 3G LTE against traffic needs

Existing ideas

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Timing for the second year proposal

• First get together: 23.4.09 VTT, Tampere• Preparation in theme groups during April-May

• Proposal in Tivit board 27.5.09• Delivery to Tekes 15.6.09• CT second year: 1.10.09 – 31.12.10

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Instrumented vehicle (VTT) by the front door

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THANK YOU!

Contacts:Hannu Hakala

Technology Centre Hermia (hannu.hakala@hermia.fi)

Jukka LaitinenVTT

(jukka.laitinen@vtt.fi)