1 1 Incident Management Incident Management Transportation Research Center University of Nevada, Las Vegas UTC Technical Day September 8, 2009.

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Presentation transcript:

1 1 Incident Management Incident Management Transportation Research Center University of Nevada, Las Vegas UTC Technical Day September 8, 2009

2 Team Members Project Team  Dr. Pushkin Kachroo  Neveen Shlayan  Vinod Vasudevan  Rohit Saddi  Rita Brohman Sponsor Team  Adrian Gibby  Brian Hoeft  Fred Ohene  Shital Patel

3 Project Objectives Incident Management intends to improve Incident Management intends to improve –the Incident Management Process –first responders coordination Secondary Congestions project intends to Secondary Congestions project intends to –Well define secondary incidents spatially and temporally –investigate the full impact of freeway incidents Bayesian Traffic Safety Analyzer development Bayesian Traffic Safety Analyzer development –estimates risks of various locations –traffic flow and Incident prediction

4 4 Methodology Incident Management Incident Management –Discrete modeling –Hybrid modeling –Systems properties, safety and liveness, validation Secondary Congestions Secondary Congestions –Case studies –Data analysis –Redefining the progression curve for queues due to accidents Bayesian Traffic Safety Analyzer Bayesian Traffic Safety Analyzer –Crash data analysis –System modeling –System implementation

5 Anticipated Benefits Reduce incidents clearance times Reduce incidents clearance times Efficiently maximize the use of resources Efficiently maximize the use of resources Better understand nature of incidents and its implications on traffic flow Better understand nature of incidents and its implications on traffic flow Development of general models and methodologies that can be used in transportation Development of general models and methodologies that can be used in transportation Development software tools and applications Development software tools and applications

6 LVMPD and NHP Crash Data

7 7 Incident Management Modeling Formal Language and Automata Theory Formal Language and Automata Theory –Finite State Processes (FSP) Models –Labeled Transition Systems (LTS) Diagrams for FSP Models

8 8 Accident FSP and LTS Models

9 9 LVMPD FSP and LTS Models

10 Tow Company FSP and LTS Models

11 Sequence Properties Safety Safety Liveness Liveness

12 Secondary Incidents Vissim Simulations

13 Moving Dynamic Progression Curve for Incident Related Freeway Congestion

14 Freeway Travel Time Reliability Using DMS Recording from FAST

15 Normalized Standard Deviation

16 Travel Time Mean Estimations

17 Reliability as a Measure of Non-failure

18 Reliability Using Information Theory Based Approach

19 Bayesian Networks

20Summary

21 Work in Progress

22 Thank you !! Questions?