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.
Simulation-Optimization-Based Decision Support Tool for Mitigating Traffic Congestion
2009
32 pages
Report
No indication
English
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