Tabu-Based Heuristic Approach for Optimization of Network Evacuation Contraflow

Abstract

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.

Cite this work

No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 136 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.