1 / 22

Incident Management

Incident Management. Transportation Research Center University of Nevada, Las Vegas. UTC Technical Day September 8, 2009. 1. Project Team Dr. Pushkin Kachroo Neveen Shlayan Vinod Vasudevan Rohit Saddi Rita Brohman. Sponsor Team Adrian Gibby Brian Hoeft Fred Ohene Shital Patel.

MartaAdara
Download Presentation

Incident Management

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

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

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

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

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

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

  6. LVMPD and NHP Crash Data

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

  8. Accident FSP and LTS Models 8

  9. LVMPD FSP and LTS Models 9

  10. Tow Company FSP and LTS Models

  11. Safety Liveness Sequence Properties

  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

  20. Summary

  21. Work in Progress

  22. Thankyou !! Questions?

More Related