Open AccessSimulation study on pedestrian evacuation optimization in a multi-exit building
Author(s) -
Yangyang Fu,
Wenxi Shi,
Yiping Zeng,
Hui Zhang,
Xiaodong Liu,
Yi Liu
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1780/1/012024
Subject(s) - social force model , pedestrian , emergency evacuation , computer science , simulation , selection (genetic algorithm) , crowd simulation , transport engineering , engineering , crowds , artificial intelligence , geography , computer security , meteorology
Two multi-exit selection models based on social force model are presented to simulate pedestrian evacuation, and the model coefficients are optimized by considering the effect of the exit distance, exit width, crowd number and distribution. The evacuation processes employing shortest distance evacuation strategy, static and dynamic exit selection model are compared. The effects of the crowd number, distribution and desired speed are investigated on the evacuation time and balance degree with the static and dynamic exit selection model. The effects of group size and group shape on the evacuation time in dynamic exit selection model is explored. The simulation results indicate that the proposed dynamic exit selection model can realistically reflect the pedestrian evacuation and help predicate the time available in building spaces with multiple exits, which can lead to a shorter evacuation time and higher evacuation efficiency. The study has some guiding significance for emergency evacuation and exits design of multi-exit buildings.