期刊
SIMULATION MODELLING PRACTICE AND THEORY
卷 94, 期 -, 页码 321-333出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.simpat.2019.04.002
关键词
Hazard prediction; Optimal evacuation route; Search algorithm; Emergency safety; Evacuation
资金
- Basic Science Research Program through the National Research Foundation of Korea (NRF) - Ministry of Science, ICT & Future Planning [2017R1C1B2009237]
- National Research Foundation of Korea [2017R1C1B2009237] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
Providing accurate information on available evacuation routes is critical during the time-sensitive emergency situation of a building fire, particularly when it occurs in a large-scale facility with a complex layout. Timely access to safe and efficient egress paths helps minimize exposure to hazardous fire effluents such as toxic smoke during evacuation. The following study develops a computational model which uses hazard prediction data to identify optimal evacuation routes, the safest and shortest paths to the nearest exit, during the event of a building fire. It uses the Fire Dynamics Simulator to provide prediction data on smoke propagation inside a structure and the A* algorithm to search for the fastest escape path. The algorithm is modified to consider whether the ensuing nodes in the route are in a normal or hazardous state. The test simulations demonstrate that the model is both accurate and effective in guiding evacuees to a place of safety while minimizing direct exposure to smoke. These results enable a more informed approach to safety management during indoor fires and reduce the likelihood of evacuees impeding the evacuation process by entering a dangerous area unprepared.
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