| Article ID: | iaor20119855 |
| Volume: | 62 |
| Issue: | 11 |
| Start Page Number: | 1971 |
| End Page Number: | 1982 |
| Publication Date: | Nov 2011 |
| Journal: | Journal of the Operational Research Society |
| Authors: | Melouk S H, Keskin B B, Armbrester C, Anderson M |
| Keywords: | heuristics: tabu search, simulation: applications, networks: flow |
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.