Traffic congestion has grown considerably in the United States over the past twenty years. In this paper, we develop a robust decision support tool based on simulation optimization to evaluate and recommend congestion-mitigation strategies to transportation-system decision-makers. A tabu-search-based optimizer determines different network design strategies on the road network while a traffic simulator evaluates the goodness of fit. The tool is tested with real traffic data.


    Access

    Access via TIB

    Check availability in my library


    Export, share and cite



    Title :

    Simulation-Optimization-Based Decision Support Tool for Mitigating Traffic Congestion


    Contributors:
    S. Melouk (author) / B. Keskin (author) / C. Armrester (author) / M. Anderson (author)

    Publication date :

    2009


    Size :

    32 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English




    Michigan Toolbox for Mitigating Traffic Congestion

    J. A. Crawford / T. B. Carlson / W. L. Eisele et al. | NTIS | 2011


    Mitigating Traffic Congestion: Solving the Ride-Matching Problem by Bee Colony Optimization

    Teodorović, Dušan / Dell’ Orco, Mauro | Taylor & Francis Verlag | 2008




    Cooperative Negotiation in Connected Vehicles for Mitigating Traffic Congestion

    Nguyen, Tri-Hai / Li, Gen / Jo, Hyoenseong et al. | British Library Conference Proceedings | 2022