Intermodal Transportation Systems Risk Analysis and Resilience in New Madrid Seismic Zone: the Impact to Mississippi Objective: To develop a framework that evaluates intermodal transportation system resilience and risk profiles and accordingly determines effective preparedness, response and recovery strategies, with a particular focus on earthquakes, given available resources (e.g. funding and human resources). Approach: Four key modules will be developed as a part of the framework: Bayesian Network Module, Dynamic Intermodal Transportation Assignment Module, Resilience Evaluation Module, and Multi-Objective Decisions Module. Each of these modules will perform one of the following: estimate risk profiles and forecast intermodal transportation network statuses, produce system performance data and generate optimized emergency response routes, propose a set of appropriate resilience indicators, and consider retrofitting and protection options. As a whole the framework will identify the most effective preparedness, response and recovery strategies. Photo by sanbeiji
Transcript
Intermodal Transportation Systems Risk Analysis and Resilience
in New Madrid Seismic Zone: the Impact to MississippiObjective: To develop a framework that evaluates intermodal transportation
system resilience and risk profiles and accordingly determines effective preparedness, response and recovery strategies, with a particular focus on earthquakes, given available resources (e.g. funding and human resources).
Approach: Four key modules will be developed as a part of the framework: Bayesian Network Module, Dynamic Intermodal Transportation Assignment Module, Resilience Evaluation Module, and Multi-Objective Decisions Module. Each of these modules will perform one of the following: estimate risk profiles and forecast intermodal transportation network statuses, produce system performance data and generate optimized emergency response routes, propose a set of appropriate resilience indicators, and consider retrofitting and protection options. As a whole the framework will identify the most effective preparedness, response and recovery strategies.
Photo by sanbeiji
Real – Time Identification and Monitoring of Barge-Carried Hazardous Commodities
Objective: To analyze multiple algorithms in order to improve the model efficiency.
Background: Phase I and Phase II were completed in which the scope of the project was determined and the model was developed.
Dwell Time: The dwell time data was statistically analyzed to determine predictability. As a result of the analysis it was concluded that the dwell was not predictable.
Running Time: The running time data was analyzed using multiple algorithms including average vs. actual, trajectory methods, linear regression (MatLab), and neural networks (MatLab). The best results at this point are the result of a one layer, nine neuron neural network with a 19% MAE with an approximate 5 minute accuracy.
Future Research: In the future more algorithms will be tested including K-NN, linear regression (Excel), and time-series neural networks. Data with shorter time intervals between entries will try to be acquired to
improve accuracy.
I-55 Integrated Diversion Traffic Management Benefit Study
Objective: Evaluating the benefits of freeway congestion relief by utilizing corridor-wide capacity in an integrated way.
Case Study in Jackson MS
•Base ScenarioNo rerouting no matter how congested the freeway is.
•Rerouting Only ScenarioVMS is implemented but no signal optimization.
•Signal Optimization ScenarioIn addition to rerouting, the traffic signals on arterial road are optimized.
Series134.5
35.5
36.5
37.5
38.5
39.5
Base CaseRerouting Only ScenarioSignal Optimization Scenario
Ave
rag
e D
elay
(S
ec/M
ile)
Intersection Queue Management Plan Based on Video Detection System
Background• Significant different queue lengths of major and minor
streets of an intersection, in/out bounds, especially during rush hour and special events, provide rooms for reducing control delay of an intersection
Objective• Proposed an intersection queue management plan to
reduce overall interaction control delays based on video detection system (VDS) (Version 1)
• Proposed an intersection queue management plan to reduce overall interaction fuel consumption/emission based on video detection system (VDS) (Version 2)
Current Intersection Queue Management Plans
• Static Plan: Switch to Max G 2 for phase with long queue approaches in a period of time
• Dynamic Plan:Dynamic Max G 2: uses Max G 2 on a cycle baseDynamic Passage Time Adjustment: revise gap time of current
phase to 0 when neededDynamic Max G 2 & Passage Time Adjustment
• Limited by Coordination (Not considered now)
Results:• The best scenario reduces 13.33 % of intersection control
delay• On average, the dynamic plans have better performance
than static plan• The proposed simple queue management plan is effective
Modeling Modal Shift and Dynamic Traffic Assignment in Intermodal Transportation Systems
Introduction - TransCAD has non-negligible limitations on modal shift and traffic assignment when modeling the demand1. inability of incorporating fuel consumption
and emission2. Lack of intermodal transportation modeling3. Limited traffic assignment functions
System Framework
Benefits1. Forecasting travel demand for the model
sensitive to fuel consumption and. emission
2. Helping government agencies to balance the development of different modes
3. Assessing the influence of an environmental policy on travel demands and mode choices
Objective: Develop a framework that integrates fuel consumption, emission, multimodal transportation planning, and DTA to address the limitations of existing transportation planning tools in modeling modal shifts and traffic assignment in intermodal transportation.
FRAMEWORK OF CALCULATING THE MEASURES OF RESILIENCE (MOR) FOR INTERMODAL TRANSPORTATION SYSTEMS
Objective: to develop a framework of calculating the measure of resilience for intermodal transportation systems and to propose, as well as evaluate, strategies for improving the MOR.
Intermodal Transportation Systems Resilience Indicators 1) Highway NetworkMobility
Average Truck Trip LengthAverage Travel Time per MileMobility Performance Index
AccessibilityPercentage of Open HighwayPercentage of Truck Traveled under 85th Percentile of Speed Limit
ReliabilityAverage Delay Per Truck Trip
Level of Service
2) Intermodal TerminalsLevel of Service
Case Study: the Gulf Coast Region in Mississippi during Hurricane Katrina
ResultsInitial system breakdown after Hurricane Katrina was quickly restored
The intermodal transportation systems of the study area demonstrated fairly good system wide resilience to Hurricane Katrina
Showed local congestions on highwayFreeway Ramps/Major ArterialsDuring the Peak hours
Re-routing/re-distributing the traffic alleviates the congestions
Real-time Transit Vehicle Routing Optimization in Emergency Evacuations
Objective: Providing transit agencies an implemental real-time transit vehicle operation management system in an emergency evacuation.
Background1. Nature disaster caused catastrophic losses of
lives and properties due to the inability of conducting real-time transit evacuation operations in a dynamic environment.
2. Current fleet management software, such as RouteMatch, SafePath, can’t handle real-time evacuation operations that face a dyamic environment.
Highway
Community
Communication Module (NTCIP)
Database
Transit Vehicle Routing Optimization Model
Runtime Extension
User Inputs
Re
al
Tim
e T
raff
ic
Co
nd
itio
ns
Co
lle
cte
d
by
Co
nn
ec
ted
Ve
hic
le
Un
reg
iste
red
Ev
ac
ue
e’s
Re
qu
es
ts
Real World Application Optimization Module Simulation Module
Web Application
Up
da
ted
Pla
n (
Se
nd
to
GP
S o
r C
ell
Ph
on
e)
Update Database
Transit Vehicle Routing Optimization System Framework
Updated Plan
Updated Plan
System Framework
Benefits1. Improving the transit system efficiency and
reliability during disaster.
2. Potentially being integrated with transit management software, like RouteMatch
3. The web-based interface will offer real-time transit management service to authorized transit agencies.
Incorporating Transportation Network Modeling Tools within Transportation Economic Impact Studies of Disasters
Objective: to propose a framework in which transportation network modeling tools are incorporated for estimating the direct and indirect economic impacts of a disaster on intermodal transportation systems
Categories:•Direct transportation economic impacts: restoration costs of damaged or destroyed transportation system infrastructures.•Indirect transportation economic impacts:
Highway Cost of rerouting delays, Cost of congestion delays, Cost of additional emissions and pavement maintenance
Railroad Cost of rerouting delays
Case Study: the Gulf Coast Region in Mississippi during Hurricane Katrina
Figure 2 Map of Highway System of the Gulf Coast Region in the State of MississippiObtained from the Mississippi Department of Transportation (MDOT) website
Figure 3 Map of Railroad System of the Gulf Coast Region in the State of MississippiObtained from the MDOT website (http://www.gomdot.com/Divisions/IntermodalPlanning/Resources/Maps/pdf/Rails.pdf)
ResultsThe Highway
SystemThe Railroad
SystemIntermodal
Transportation Systems
Direct Cost ($)
700 million 300 million 1 billion
Indirect Cost ($)
Daily 526,340 530,855 1,057,195
Total 393.4 million 79.6 million 473 million
Total Cost ($)
1.1 billion 379.6 million 1.5 billion
Coordination of Connected Vehicle and Transit Signal Priority on Transit Evacuations
Objective: Evaluate the impacts of the proposed TSP strategies on the transit-based emergency evacuation and provide an implementable and practical TSP system
Connected Vehicle Unit
Transit Management Center
Traffic Signal Controller
Bus with Connected Vehicle Transmitter
Transit Info.
Signal Timing Plan
Data Transfer
Priority Tactic
Cancel Priority
Call Priority
With Connected Vehicle, an adaptive transit signal priority system is able to optimize the effective timing plan based on real-time observed data.
CORSIM Simulation
Scenario 1 Scenario 2 Scenario 3 Scenario 40
10
20
30
40
50
60
70
80
Route 1
Route 2
Network-wide Av-erage Delay
Bu
s D
elay
(S
eco
nd
)
oScenario 1 – No TSPoScenario 2 – Transit
Signal PreemptionoScenario 3 – TSP
OnlyoScenario 4 – TSP +
Connected Vehicle
Driver Speed Limit Compliance in School Zones: Assessing the Impact of Sign Saturation
Objective: to evaluate the impact of school zone sign density on reducing driver speed in school zones.
Anticipated Benefits: Assist decision makers when choosing where to
locate school zones and school zone signs. Aid decision makers to reduce the number of
school zones across the state which would save money (fewer signs), and to improve the effectiveness of existing school zones.
Help decision makers to inform local municipalities about the need for additional enforcement of speed reduction in school zones based on empirical data.
A stepping stone to future work on studying the impact of other types of sign saturation (e.g. wildlife, work zones) on driver behavior.
Optimum Transit Operations During Emergency Evacuations
Gulfport
Optimum Evacuation Plan
Objectives:
Optimize bus routing and passenger pick up points during the hurricane evacuation
Have all people evacuated safely from the flooding zones to safe destinations
Buses
Shelters
Pickup points
CTA Fixed Routes Plan
REAL-TIME OPERATIONS SUPPORT FOR EMERGENCY EVACUATIONS
•Improve the operation of large-scale emergency vehicular evacuations
•Create a system which emergency management agencies and/or other public safety organizations can rapidly deploy
•Computer-to-computer or center-to-center data exchange
•Provide a comprehensive family of communication protocols covering all appropriate ITS applications
Evacuation Traffic Assignment (ETA) is a major component of Emergency Evacuation Plan (EEP) -- an indispensable preparedness package for disaster threatened areas
Approach:• Identify traffic management scenarios• Generate ETA and simulate in CORSIM using
Path-Following algorithm• Generating ETA through iterations of manual
adjustment so that all gate clearance times are approximately the same
• Analyze sensitivity of key CORSIM parameters for ETA reasonableness
Objective: 1. Generate ETA from each major parking lot to university exits2. Evaluate traffic management and ETA strategies in reducing clearance time
Studies on Impact of Aircraft Maintenance Labor and Parts Tax in the State of Mississippi
• Evaluate the impact of the 7% tax on maintenance labor and parts on the Mississippi aircraft maintenance industry, state economy and the State tax revenue.
Natchez Trace Parkway Traffic Safety Study
Natchez Trace Parkway is a recreational route that accommodates traffic from Mississippi, Alabama, and Tennessee. It is also the most direct route from Nashville, TN to Jackson, MS.
Objectives: Gains From Detailed Analysis of the Available Accident Historical Data and Other Available Information.
Accident Locations
Accident Causes Driver Causes Classification
Interactive Highway Safety Design Model (IHSDM) Traffic Safety Software Package is Used to Analyze the Safety and Operation Performance
Crash Prediction by IHSDM
The forth time (1999, 2002, 2004, 2006) Mississippi State University civil engineering department hosts a three year Pavement Marking Material evaluation on behalf of AASHTO.
How the NTPEP Program Work?MSU and Others Test Pavement Marking Product Performance Index:
•Dry/ Wet Retro reflectivity•Durability•Day-time And Night-time Color
•Database Uploaded to AASHTO •State DOT Choose Qualified Products from Database•Your Tax $ Would Purchase Quality Product!
NTPEP Pavement Marking Material Evaluation Mississippi State Deck
- Your Tax $ at Work
Modeling Evacuation Traffic and Emergency Vehicle Operation in CORSIM
• A Case Study in Route 7, VA• Discuss the new CORSIM Unique
Feature: Emergency Vehicle and Driver Behavior
Preliminary Conclusion The EV driving behavior and the
driver’s respond to emergency vehicles affects the EV travel time significantly.
Preemption saves EV approximately 10 seconds per signal.
Under evacuation traffic volume, EV travel time does not change
much.
Delay estimation model development
CORSIM and QUICKZONE Software package utilization
Radar detector and GPS data collection method for the traffic volume, speed and highway geometry of the work zone area
Mississippi Work zone best practices
Mississippi Work zone traffic flow Characteristics
Work Zone Traffic Operations Analysis Process
Study on Traffic Flow Operation in Work Zones
1 mile 0.5 mileL/2 L/2
Direction of Traffic
0.5 mile
Max
Queue (Miles)
Max Delay (min)
Passenger Cars
TruckEcon / Misc
Total
After 1.91 18.17 $36,887 $25,412 $0 $62,29
9
Total 1.91 18.17 $36,887 $25,412 $0 $62,29
9
MSU Starkville Campus Traffic StudiesTraffic Data and Travel Surveys
Parking Studies
Campus Traffic Simulation Studies
– Evaluation of Bully Extension Plan– Evaluation of 5 Phases Construction Plan– Determining the Number of Lanes on Newly
Constructed Road– Impact of Parking Plan to Campus
