Title: Disaster evacuation route planning strategy based on traffic prediction

Authors: Hsin-Chung Huang; Chih-Min Chao

Addresses: Department of Computer Science and Engineering, National Taiwan Ocean University, Keelung, Taiwan ' Department of Computer Science and Engineering, National Taiwan Ocean University, Keelung, Taiwan

Abstract: A well-planned evacuation route can help to prevent traffic congestion and reduce the time required for evacuation; however, many existing evacuation route-planning solutions based on real-time traffic conditions fail to consider the degree to which evacuation guidance can exacerbate traffic congestion. This paper proposes an evacuation route-planning algorithm based on predictions of future traffic conditions. The proposed scheme tries to find evacuation routes out of a given disaster area such that evacuation is completed as fast as possible. Simulation results verify that the proposed algorithm can complete evacuations 18% faster than MacroServ, currently the best evacuation route-planning system.

Keywords: disaster; evacuation planning; route planning; traffic prediction.

DOI: 10.1504/IJAHUC.2023.133463

International Journal of Ad Hoc and Ubiquitous Computing, 2023 Vol.44 No.1, pp.13 - 22

Received: 26 Sep 2022
Accepted: 26 Jan 2023
Published online: 15 Sep 2023 *

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