文章基本信息

标题：A Hybrid Model for Evacuation Simulation and Efficiency Optimization in Large Complex Buildings
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作者：Hao Yuan ; Guo Yu ; Yifan Ma 等
期刊名称：Computer Science & Information Technology
电子版ISSN：2231-5403
出版年度：2019
卷号：9
期号：13
页码：1-12
DOI：10.5121/csit.2019.91304
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：The Cellular Automaton(CA) and Artificial Potential Field(APF) method, as well as other theories, are traditional to simulate the flow of people .A refine model of CA, combined with adapted Ant Colony model, as well as the APF is delivered to simulate the evacuation process in large buildings. An estimation of the total evacuation time within one floor in the Louvre is obtained by applying this model. The bottlenecks are identified alongside the evacuation routes. The applicability and flexibility of this model are proved.
关键词：Evacuation Model; Cellular Automaton; Artificial Potential Field; Ant Colony; The Louvre