Real-Time Decision Support System for Transportation Infrastructure Management under a Hurricane Event

This project will lay the groundwork for the development of a real-time decision support system for transportation infrastructure management under a hurricane event. Beginning with a systematic review of current decision-making practices, this project will investigate hurricane impacts on the critical infrastructures and effects of various traffic control policies on traffic network performance. The project will then identify the optimal traffic control policy to minimize hurricane-induced losses. The intended outcome of the project is to deliver a tool to rapidly identify optimal traffic control policies under hurricane events. This platform will be implemented using three integrated modules, namely, (1) traffic network simulation, (2) traffic control policy evaluation, and (3) identification of the optimal control policy. The direct benefit of the developed platform to the transportation community (and planners/emergency responders) would be immense. It could be used in real time by first responders in hurricane events, by state departments of transportation (DOTs) and state and local Offices of Emergency Services for scenario planning, and by engineers and planners for risk assessment.

Language

  • English

Project

  • Status: Active
  • Funding: $143504
  • Contract Numbers:

    CAIT-UTC-REG51

    69A3551847102

  • Sponsor Organizations:

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590
  • Managing Organizations:

    Arup

    77 Water Street
    New York, NY  United States  10005

    Center for Advanced Infrastructure and Transportation

    Rutgers University
    100 Brett Road
    Piscataway, NJ  United States  08854-8058
  • Project Managers:

    Carter, Matt

    Szary, Patrick

  • Performing Organizations:

    University of Buffalo

    ,    
  • Principal Investigators:

    Wu, Teng

    Sett, Kallol

  • Start Date: 20210201
  • Expected Completion Date: 20220131
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers Program

Subject/Index Terms

Filing Info

  • Accession Number: 01776218
  • Record Type: Research project
  • Source Agency: Center for Advanced Infrastructure and Transportation
  • Contract Numbers: CAIT-UTC-REG51, 69A3551847102
  • Files: UTC, RIP
  • Created Date: Jul 7 2021 3:09PM