Enhancing Incident Management in Transportation: Strategies and Methodologies
This project, part of the University of Nevada, Las Vegas UTC Technical Day, focuses on improving the Incident Management Process, specifically for first responders and secondary congestion due to freeway incidents. The objectives include better understanding and defining secondary incidents through spatial and temporal analysis, employing the Bayesian Traffic Safety Analyzer for risk estimation, and developing methodologies to enhance traffic flow and incident prediction. By utilizing discrete and hybrid modeling, the project aims to reduce clearance times, optimize resource use, and create general models that can be broadly applicable in transportation.
Enhancing Incident Management in Transportation: Strategies and Methodologies
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Presentation Transcript
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 Team Members
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
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
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
Incident Management Modeling • Formal Language and Automata Theory • Finite State Processes (FSP) Models • Labeled Transition Systems (LTS) Diagrams for FSP Models 7
Safety Liveness Sequence Properties
Moving Dynamic Progression Curve for Incident Related Freeway Congestion
Freeway Travel Time Reliability Using DMS Recording from FAST
Thankyou !! Questions?
