Paper
20 February 2024 Evacuation route planning in disaster situations
Shuangzhe Du
Author Affiliations +
Proceedings Volume 13064, Seventh International Conference on Traffic Engineering and Transportation System (ICTETS 2023); 130641Q (2024) https://doi.org/10.1117/12.3015790
Event: 7th International Conference on Traffic Engineering and Transportation System (ICTETS 2023), 2023, Dalian, China
Abstract
Disasters generate a large amount of material and human damage. Evacuation planning plays a crucial role in disaster management by minimizing the adverse effects of disasters on communities. It is acknowledged as a challenge of muti-objective optimization, encompassing conflicting spatial objectives and constraints within a decision-making context. Addressing such problems through traditional means is arduous. Yet, metaheuristic methods have shown to provide effective solutions. This paper delves into the examination of designing and analyzing evacuation routes within transportation networks during disaster situations. Furthermore, the paper introduces an optimized method for planning evacuation routes in context of disasters. The technique utilizes an iterative bio-inspired heuristic algorithm, which outlines paths from disaster areas to each shelter site. This aids in allocating vehicle flow for efficient evacuation planning, all while considering travel time as a key parameter.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Shuangzhe Du "Evacuation route planning in disaster situations", Proc. SPIE 13064, Seventh International Conference on Traffic Engineering and Transportation System (ICTETS 2023), 130641Q (20 February 2024); https://doi.org/10.1117/12.3015790
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KEYWORDS
Mathematical optimization

Transportation

Visualization

Particle swarm optimization

Roads

Decision making

Genetic algorithms

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