A Modified Particle Swarm Optimization-based Human Behavior Modeling for Emergency Evacuation Simulation System

摘要：

A novel emergency evacuation model based on a modified Particle Swarm Optimization was presented.The Linear Weight Decreasing Particle Swarm Optimization was introduced to simulate individual s movement.Compared with social force model and CA model,the new model well performed evacuation result.A prototype system of emergency evacuation simulation was implemented based on Geographic Information System (GIS) application framework.This prototype system simulated human behaviours in multi-exit evacuation environment.The result shows that some typical evacuation behaviors such as avoiding impact, queuing,congesting and herding are well performed and the model based on MPSO has good efficiency and practicability.

作者: Wang Cheng Yang Bo Li Lijun Huang Hua

作者单位: Digital Valley Technology Lab of Hubei province Huazhong University of Science and Technology 1037#,Luoyu Road,430074,Wuhan,China

会议类型: 国际会议

会议名称: 2008 IEEE International Conference on Onformation and Automation(IEEE 信息与自动化国际会议)

会议地点: 张家界

会议语种:英文

页码: 23-28

在线出版日期: 2008-06-20（万方平台首次上网日期，不代表论文的发表时间）