DocumentCode :
2697718
Title :
A modified Particle Swarm Optimization-based human behavior modeling for emergency evacuation simulation system
Author :
Cheng, Wang ; Bo, Yang ; Lijun, Li ; Hua, Huang
Author_Institution :
Digital Valley Technol. Lab. of Hubei province, Huazhong Univ. of Sci. & Technol., Wuhan
fYear :
2008
fDate :
20-23 June 2008
Firstpage :
23
Lastpage :
28
Abstract :
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 individualpsilas 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.
Keywords :
behavioural sciences computing; emergency services; geographic information systems; particle swarm optimisation; CA model; emergency evacuation simulation system; geographic information system; linear weight decreasing particle swarm optimization; multi-exit evacuation environment; particle swarm optimization-based human behavior modeling; social force model; Accidents; Automation; Computational modeling; Fires; Geographic Information Systems; Humans; Particle swarm optimization; Predictive models; Protection; Virtual prototyping;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Automation, 2008. ICIA 2008. International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-2183-1
Electronic_ISBN :
978-1-4244-2184-8
Type :
conf
DOI :
10.1109/ICINFA.2008.4607962
Filename :
4607962
Link To Document :
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