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A simulation optimization-based decision support tool for mitigating traffic congestion

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Listed:
  • S H Melouk

    (The University of Alabama)

  • B B Keskin

    (The University of Alabama)

  • C Armbrester

    (The University of Alabama)

  • M Anderson

    (The University of Alabama Huntsville)

Abstract

Traffic congestion has grown considerably in the United States over the past 20 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-world traffic data.

Suggested Citation

  • S H Melouk & B B Keskin & C Armbrester & M Anderson, 2011. "A simulation optimization-based decision support tool for mitigating traffic congestion," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(11), pages 1971-1982, November.
    • Handle: RePEc:pal:jorsoc:v:62:y:2011:i:11:d:10.1057_jors.2010.168
    DOI: 10.1057/jors.2010.168
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    References listed on IDEAS

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