Study on intelligent algorithm of guide partition for emergency evacuation of a subway station,IET Intelligent Transport Systems

当前位置： X-MOL 学术 › IET Intell. Transp. Syst. › 论文详情

Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)

Study on intelligent algorithm of guide partition for emergency evacuation of a subway station
IET Intelligent Transport Systems ( IF 2.3 ) Pub Date : 2020-11-02 , DOI: 10.1049/iet-its.2019.0655
Jie Wang ₁ , Jun Guo ₁ , Xi‐Meng Wu ₂ , Xiao‐Hong Guo ₁

Affiliation

In order to improve the efficiency of emergency evacuation of subway passengers, the concept of ‘guide partition’ is put forward, and an intelligent algorithm of guide partition for emergency evacuation of subway stations is proposed according to the theory of allocation problem in operational research. First an evacuation partition optimization algorithm based on the shortest path principle and based on exit capacity for non-standard allocation problem is proposed, according to the solution of service facility allocation and site selection problem in operational research. Secondly, the passengers evacuation area is divided to partitioned evacuation zones. Combined with the advantages of cellular automata model, the evacuation simulation software of Building Exodus is used for simulation and comparison of the advantages of the proposed intelligent algorithm. Finally, the evacuation partition intelligent algorithm considering the exit capacity is applied to the Military Museum Station of Beijing subway to obtain the numbers and distribution of guiders on each floor. The results show that the proposed algorithm can help the subway station staff to better determine the number, location and influence range of each guider, and effectively improve the utilization rate of evacuation exits, reduce evacuation time and improve evacuation efficiency. .

更新日期：2020-11-03

点击分享查看原文

点击收藏

阅读更多本刊最新论文本刊介绍/投稿指南11