DocumentCode :
2166687
Title :
An overview of agent-based evacuation models for building fires
Author :
Hu, Yuling ; Liu, Xiwei ; Wang, Feiyue ; Cheng, Changjian
Author_Institution :
Beijing Key Lab. of Autom. Control Syst., Beijing Inst. of Technol., Beijing, China
fYear :
2012
fDate :
11-14 April 2012
Firstpage :
382
Lastpage :
386
Abstract :
Agent-based evacuation modeling approach is gained more and more attention for investigating human cognitive capabilities and social behaviors in building fires. This paper mainly overviews the research about various agent-based evacuation models. For the decision-making reflects the intelligence of agent individual, we define three types of behavior decision-making models for agent individual based on the collected literatures and sum up the characteristics of each type. Aiming at crowd´ important influence on evacuation processes, we also sum up two types of agent-based crowd modeling approaches to simulate crowd evacuation processes and give corresponding cases. Finally, after summing up the existing problems, the outlooks of the research from computational experiments point of view is proposed.
Keywords :
behavioural sciences computing; decision making; fires; knowledge based systems; agent individual intelligence; agent-based evacuation models; building fires; Adaptation models; Biological system modeling; Buildings; Computational modeling; Decision making; Fires; Humans; agent-based modeling; computational experiments; crowd modeling; decision-making; individual models;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Networking, Sensing and Control (ICNSC), 2012 9th IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-0388-0
Type :
conf
DOI :
10.1109/ICNSC.2012.6204949
Filename :
6204949
Link To Document :
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