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.


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    Titel :

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


    Beteiligte:
    S. Melouk (Autor:in) / B. Keskin (Autor:in) / C. Armrester (Autor:in) / M. Anderson (Autor:in)

    Erscheinungsdatum :

    2009


    Format / Umfang :

    32 pages


    Medientyp :

    Report


    Format :

    Keine Angabe


    Sprache :

    Englisch




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