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

S H Melouk (), B B Keskin, C Armbrester () and M Anderson
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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

Journal of the Operational Research Society, 2011, vol. 62, issue 11, 1971-1982

Abstract: 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.

Keywords: heuristics; simulation; traffic; decision support systems; strategic planning; practice of OR (search for similar items in EconPapers)
Date: 2011
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DOI: 10.1057/jors.2010.168

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