太阳成8722(中国)有限公司-GREEN NO.1

标题：Evacuation dynamic and exit optimization of a supermarket based on particle swarm optimization作者：Li, Lin; Yu, Zhonghai; Chen, Yang

来源出版物：PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS 卷：416 页：157-172 DOI：10.1016/j.physa.2014.08.054 出版年：DEC 15 2014

摘要：A modified particle swarm optimization algorithm is proposed in this paper to investigate the dynamic of pedestrian evacuation from a fire in a public building a supermarket with multiple exits and configurations of counters. Two distinctive evacuation behaviours featured by the shortest-path strategy and the following-up strategy are simulated in the model, accounting for different categories of age and sex of the pedestrians along with the impact of the fire, including gases, heat and smoke. To examine the relationship among the progress of the overall evacuation and the layout and configuration of the site, a series of simulations are conducted in various settings: without a fire and with a fire at different locations. Those experiments reveal a general pattern of two-phase evacuation, i.e., a steep section and a flat section, in addition to the impact of the presence of multiple exits on the evacuation along with the geographic locations of the exits. For the study site, our simulations indicated the deficiency of the configuration and the current layout of this site in the process of evacuation and verified the availability of proposed solutions to resolve the deficiency. More specifically, for improvement of the effectiveness of the evacuation from the site, adding an exit between Exit 6 and Exit 7 and expanding the corridor at the right side of Exit 7 would significantly reduce the evacuation time.

入藏号：WOS:000345725300015

文献类型：Article

语种：English

作者关键词：Particle swarm optimization, Route calculation, Evacuation dynamic, FDS, Fire spread

扩展关键词：LATTICE-GAS MODEL; PEDESTRIAN EVACUATION; CELLULAR-AUTOMATON; BEHAVIOR; NETWORK; ESCAPE; CHOICE; FLOW

通讯作者地址：Yu, Zhonghai; Wuhan Univ, Sch Resources & Environm Sci, Wuhan 430079, Peoples R China.

电子邮件地址：lilin@whu.edu.cn; cartofish@whu.edu.cn; arthurxiaoc@gmail.com

地址：

[Li, Lin; Yu, Zhonghai; Chen, Yang]Wuhan Univ, Sch Resources & Environm Sci, Wuhan 430079, Peoples R China.

研究方向：Physics

ISSN：0378-4371

eISSN:1873-2119