Emergency evacuation decision optimization for commercial pedestrian streets based on ant colony algorithm

doi:10.16265/j.cnki.issn1003-3033.2021.10.020

Abstract

Abstract: In order to analyze safety of large-scale crowd emergency evacuation under guidance of emergency evacuation plan based on decision optimization in commercial pedestrian street. Taking a commercial pedestrian street as an example, the improved adaptive ant colony algorithm was used to optimize the evacuation decision-making and the optimal design of evacuation plan. Combined with Pathfinder software, the personnel evacuation behavior based on optimized evacuation plan was simulated numerically, and the efficiency and safety of large-scale crowd evacuation in commercial pedestrian streets before and after decision optimization were compared and analyzed. The results show that the evacuation efficiency of large-scale crowd induced based on the optimized evacuation plan can be improved by 8.86% in a fire-free environment. The evacuation efficiency in the fire environment increased by 6.57%. The decision-making optimization of large-scale emergency evacuation effectively alleviates the situation of personnel cluster retention at some safety exits,the integral decision-making optimization of emergency evacuation is realized.

Key words: commercial pedestrian street, emergency evacuation, decision-making optimization, adaptive ant colony algorithm, Pathfinder software

CLC Number:

JIANG Xue, YANG Huan, ZHANG Peihong. Emergency evacuation decision optimization for commercial pedestrian streets based on ant colony algorithm[J]. China Safety Science Journal, 2021, 31(10): 144-151.

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