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http://dx.doi.org/10.15683/kosdi.2020.3.31.096

A study on the Application of Optimal Evacuation Route through Evacuation Simulation System in Case of Fire  

Kim, Daeill (Institute of Urban Science, University of Seoul)
Jeong, Juahn (Institute of Urban Science, University of Seoul)
Park, Sungchan (Institute of Urban Science, University of Seoul)
Go, Jooyeon (Institute of Urban Science, University of Seoul)
Yeom, Chunho (International School of Urban Sciences, University of Seoul)
Publication Information
Journal of the Society of Disaster Information / v.16, no.1, 2020 , pp. 96-110 More about this Journal
Abstract
Recently, due to global warming, it is easily exposed to various disasters such as fire, flood, and earthquake. In particular, large-scale disasters have continuously been occurring in crowded areas such as traditional markets, facilities for the elderly and children, and public facilities where various people stay. Purpose: This study aims to detect a fire occurred in crowded facilities early in the event to analyze and provide an optimal evacuation route using big data and advanced technology. Method: The researchers propose a new algorithm through context-aware 3D object model technology and A* algorithm optimization and propose a scenario-based optimal evacuation route selection technique. Result: Using the HPA* E algorithm, the evacuation simulation in the event of a fire was reproduced as a 3D model and the optimal evacuation route and evacuation time were calculated for each scenario. Conclusion: It is expected to reduce fatalities and injuries through the evacuation induction technique that enables evacuation of the building in the shortest path by analyzing in real-time via fire detection sensors that detects the temperature, flame, and smoke.
Keywords
Crowded Facility; Fire Evacuation; HPA*E Algorithm; Evacuation Routes; Evacuation Simulation;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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