Analysis of evacuation simulation considering crowd density and the effect of a fallen person

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Simulation methods that can overcome the limitations of theory and experiment are widely used to predict disaster situations and analyze evacuation safety. To obtain more accurate and realistic simulation results, various situations that arise when people evacuate must be reflected. In this research, regression analysis is applied to existing research on walking speed changes according to crowd density, and we suggest a new equation for walking speed changes of people during evacuation. The suggested equation is applied to crowd evacuation simulations based on the actual viewing angle of a person. In addition, we developed a fallen person algorithm and applied it to examples from the Society of Fire Protection Engineers (SFPE) to analyze the effect a fallen person has on evacuation. Through this research, evacuation safety analysis can be performed for cases involving falling people, and it will be possible to design buildings that can minimize risk and evacuation time in case of an actual emergency situation by analyzing the optimum measures more strictly.
Publisher
SPRINGER HEIDELBERG
Issue Date
2019-12
Language
English
Article Type
Article
Citation

JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, v.10, no.12, pp.4869 - 4879

ISSN
1868-5137
DOI
10.1007/s12652-019-01184-7
URI
http://hdl.handle.net/10203/268770
Appears in Collection
ME-Journal Papers(저널논문)
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