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http://dx.doi.org/10.14346/JKOSOS.2013.28.3.118

A Study for Optimal Evacuation Simulation by Artificial Intelligence Evacuation Guidance Application  

Jang, Jae-Soon (Social Disaster Research Division, National Disaster Management Institute Department Safety Engineering)
Kong, Il-Chean (Department Safety Engineering, Graduate School, University of Incheon)
Rie, Dong-Ho (Fire Disaster Prevention Research Center, University of Incheon)
Publication Information
Journal of the Korean Society of Safety / v.28, no.3, 2013 , pp. 118-122 More about this Journal
Abstract
For safe evacuation in the fire disaster, the evacuees must find the exit and evacuate quickly. Especially, if the evacuees don't know the location of the exit, they have to depend on the evacuation guidance system. Because the more smoke spread, the less visibility is decreasing, it is difficult to find the way to the exit by the naked eye. For theses reasons, the evacuation guidance system is highly important. However, the evacuation guidance system without change of direction has the risk that introduce to the dangerous area. In the evacuation safety assessment scenario by the evacuation simulation has the same problem. Because the evacuee in the simulation evacuate by the shortest route to the exit, the simulation result is same like the evacuation without the evacuation guidance system. In this study, it was used with MAS (Multi Agent System)-based simulation program including the evacuation guidance system to implement the change of evacuation by fire. Using this method, confidence of evacuation safety assessment can be increase.
Keywords
evacuation guidance system; PBD; MAS (multi agent system); dispersion;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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