Multi-exit Evacuation Strategy Based on Particle Swarm Optimization with Background Field

doi:10.12068/j.issn.1005-3026.2019.09.002

Abstract

Abstract: In view of the crowd evacuation exit selection strategy question of complex buildings， this paper focuses on the cognitive difference of pedestrians in the synthetic shortest distance. The mixed distance strategy is established by introducing the distance factor and density factor， and combined with the modified background field modeling rules. The exit selection strategy is integrated into the particle swarm updating mechanism， and the exit selection strategy based on particle swarm optimization with background field is established. The evacuation performance of exit selection strategy is simulated by numerical experiments. The experimental results reveal the mechanism of group movement in multi-exit buildings， and reflect the dynamic adjustment performance of the evacuation strategy. The simulated evacuation process verifies the rationality and effectiveness of the multi-exit selection of the mixed distance strategy in group evacuation.

Key words: multi-exits evacuation, background field, particle swarm optimization, synthetic shortest distance, evacuation strategy

CLC Number:

TP391.9

ZHANG Li-jie ， LIU Jian-chang ， TAN Shu-bin. Multi-exit Evacuation Strategy Based on Particle Swarm Optimization with Background Field[J]. Journal of Northeastern University Natural Science, 2019, 40(9): 1222-1227.

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