DocumentCode :
1871123
Title :
Research on the model of pedestrian evacuation in large public building based on Ant Colony Algorithm
Author :
Chen, Qing-quan ; Yao, Kun
Author_Institution :
The Armed Police Academy, Langfang, 065000 China
fYear :
2012
fDate :
3-5 March 2012
Firstpage :
1682
Lastpage :
1685
Abstract :
To settle the pedestrian evacuation problems of large public building, by taking advantages of Ant Colony Algorithm in solving the shortest path problem while taking the behavioral characteristics of persons during fire into consideration, this paper puts forward a dynamic optimizing model of person evacuation path based on Ant Colony Algorithm, and combines with the analogue simulation of fire-free or fire occurrence examples, finally goes to a conclusion that dynamic adjustment of the optimized evacuation path can improve the evacuation efficiently and reduce the casualties effectively.
Keywords :
Ant Colony Algorithm; analogue simulation; large public building; pedestrian evacuation;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Automatic Control and Artificial Intelligence (ACAI 2012), International Conference on
Conference_Location :
Xiamen
Electronic_ISBN :
978-1-84919-537-9
Type :
conf
DOI :
10.1049/cp.2012.1309
Filename :
6492916
Link To Document :
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