In urban evacuations, especially in response to an expected disaster, capacity reversibility (also known as contraflow) has been considered a workable strategy to reduce traffic congestion and to meet evacuation time deadlines. Currently, contraflow strategies are mostly planned by relying on engineering judgment because of the lack of appropriate large-scale decision support tools. A tabu search-based heuristic approach is introduced here that can be applied on realistic-size networks. The approach relies on insights from an analytical formulation of optimal reversibility design that reduces total system travel time. Computational results on a hypothetical and an urban network example network are presented and discussed.
Tabu-Based Heuristic Approach for Optimization of Network Evacuation Contraflow
Transportation Research Record: Journal of the Transportation Research Board
Transportation Research Record: Journal of the Transportation Research Board ; 1964 , 1 ; 157-168
01.01.2006
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Tabu-Based Heuristic Approach for Optimization of Network Evacuation Contraflow
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