Research on Louvre evacuation based on Dynamic Network Flow model

摘要：

　　In this paper, we have improved and applied the dynamic network flow model to identify bottlenecks in the process and recommend improvements. We use the normal distribution to estimate the maximum value of a certain moment for the Louvre visitors, and as the object of study.In order to simulate the evacuation process of people in the building, we adopt the network flow model, and on the basis of it, the dynamic network flow model is studied. The dynamic network flow model has the function of identifying bottlenecks, removing the bottleneck route, re-retrieving the next feasible route, and selecting the shortest path in the remaining routes. In this paper, the theoretical results are verified by an example of the Louvre. By simulating, we get the evacuation time of the Louvre at 418s.

关键词： Dynamic Network Flow model analytic Hierarchy process (AHP) Louvre evacuation

作者: Luyao Li Jindou Xin Qingwei Li Hui Wu

作者单位: North University of China, Taiyuan, China

会议类型: 国际会议

会议名称: 2019 6th International Conference on Machinery, Mechanics, Materials and Computer Engineering (MMMCE 2019)(2019 第六届机械、材料和计算机工程国际会议)

会议地点: 呼和浩特

会议语种:英文

页码: 601-608

在线出版日期: 2019-07-27（万方平台首次上网日期，不代表论文的发表时间）