Paper Info
Title
The Application Of Ant Colony Algorithm In Emergency Rescue With Gis
Abstract
Under the indoor building environment, when the fires and other accidents occur, how to effectively organize the masses evacuation and fire rescue, is closely related to the safety of people's lives and property and has become a critical problem of public concern. This paper presents an improved ant colony algorithm (ACO) to solve the problem of how to optimize the evacuation route and rescue route when an accident occurs. According to the key factors affecting people emergency evacuation, such as indoor building environment, fire and its combustion products, problem of path's optimal selection, etc., we propose an emergency evacuation model, based on the model it can give an optimal evacuation route for the mass and an optimal rescue route for the firefighters. We also analyzes the search results, it shows that the search results is robust and reasonable.
Year
Venue
Keywords
2015
2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)
Evacuation, Ant Colony Algorithm, indoor building environment
Field
DocType
ISSN
Ant colony optimization algorithms,Computer vision,Emergency evacuation,Computer science,Computer security,Operations research,Artificial intelligence
Conference
2153-6996
Citations 
PageRank 
References 
0
0.34
0
Authors
12
Name
Order
Citations
PageRank
Yufeng Lu101.01
Yong He201.69
Jun Xia300.34
Zezhong Zheng42912.43
Huan Wei592.80
Yalan Liu6203.69
Xiang Zhang700.68
Guoqing Zhou82515.98
Zhanmang Liao9198.07
Guiyun Zhou10193.95
Hongsheng Zhang1100.68
Jiang Li1221.46