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