An Approach of Large-Scale Emergency Evacuation Based on The FCC-ACO Simulation Research

被引：5

作者：

Liu, Meng ^{[1
]}

Wang, Dan ^{[2
]}

Huang, Qianqian ^{[2
]}

机构：

[1] Shenyang Fire Res Inst, Shenyang, Liaoning, Peoples R China

[2] Shenyang Univ, Coll Informat Engn, Shenyang, Liaoning, Peoples R China

来源：

2018 11TH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN (ISCID), VOL 2 | 2018年

基金：

中国博士后科学基金;

关键词：

mass evacuation; FCC-ACO; emergency evacuation; path optimization;

D O I：

10.1109/ISCID.2018.10148

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

During the period of large-scale activities, a large number of people gathered in relatively short time periods and the space scope of the rally. Once an emergency occurs, establishing a good and orderly evacuation strategy for traffic safety is a guarantee for the life and property of the participants. Different from normal people evacuation, people evacuation in emergency requires higher time. In this paper, a model of regional personnel evacuation based on fuzzy c-mean clustering combined with ant colony algorithm is proposed. The simulation results show that the algorithm is more efficient than the classical ant colony algorithm and can shorten the time of evacuation.

引用

页码：206 / 209

页数：4

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