标题：Analysis and simulation of optimal path planning for fire escape
作者：Yu, Haiou ;Shi, Yongkui
作者机构：[Yu, Haiou ;Shi, Yongkui ] School of Mining and Safety Engineering, Shandong University of Science and Technology, China
会议名称：7th International Symposium on Project Management, ISPM 2019
来源：Conference Proceedings of the 7th International Symposium on Project Management, ISPM 2019
关键词：Ant colony algorithm; Anylogic simulation; Escape behavior analysis; Number of exports
摘要：This paper takes Vanke Property Company as the research object and analyzes the importance of increasing the number of exports to escape. Firstly, the speed of escape was determined by establishing the mathematical model of escape speed. Secondly, ant colony algorithm is used to study the optimal escape path from multi-starting point to single-target point and multi-target point. The ant colony algorithm requires the robot to find an optimal path that avoids obstacles from the initial state to the target state in its working space according to the principle of optimizing the shortest walking route. Finally, the Analogic simulation software is used to simulate the real case by controlling the density of people and the number of safe exits. When the number of different exits of different densities is different, the number of people who have not escaped is counted at different times, and the time it takes for all personnel to escape. The above method can reflect the escape behavior of the personnel in the emergency situation in a more realistic way, and provides a theoretical basis for further solving the problem of safe evacuation and reducing casualties. © 2019 by Aussino Academic Publishing House.