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.


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    Title :

    Tabu-Based Heuristic Approach for Optimization of Network Evacuation Contraflow


    Additional title:

    Transportation Research Record: Journal of the Transportation Research Board


    Contributors:


    Publication date :

    2006-01-01




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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