Fire is one of the most serious accidents occurring at urban rail transit stations.A scientific and reasonable safety evacuation plan is essential to ensure the safety of passengers in the event of a fire.However,it is difficult to dynamically adjust the evacuation routes in the current subway station fire evacuation plan according to the fire situation.This study used computer vision technology to identify personnel distribution information and fire locations based on the monitoring system in the subway station.A spatial topology model was developed,and an improved ant colony algorithm was used to plan an evacuation route that takes the shortest time and has fewer turns to provide a more scientific and reasonable evacuation route for evacuating passengers.The effectiveness of the evacuation plan was verified by applying it to three scenarios.
关键词
城市轨道交通/计算机视觉/人员分布/路径规划/智能疏散/火灾
Key words
urban rail transit/computer vision/distribution of personnel/path planning/intelligent evacuation/fire
维普
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