University Transportation Center

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Presentation transcript:

University Transportation Center Incident Management Project Team: Pushkin Kachroo, Neveen Shlayan, Vinod Vasudevan, Rohit Saddi, and Rita Brohman Sponsor Team: Adrian Gibby, Brian Hoeft, Fred Ohene, and Shital Patel Objective 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 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 Preliminary Results Incident Management Labeled Transition Diagrams Spatial and Temporal Progression Curve for Secondary Congestion Travel Time Reliability Analysis for the I-15 Corridor in Las Vegas Contact Information Pushkin Kachroo Neveen Shlayan Vinod Vasudevan pushkin@unlv.edu shlayann@unlv.nevada.edu vinod.vasudevan@unlv.edu