Research on Louvre evacuation based on Dynamic Network Flow model
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Luyao Li, Jindou Xin, Qingwei Li, Hui Wu
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.
Dynamic Network Flow model, analytic Hierarchy process (AHP), Louvre evacuation