Research on Adaptive Emergency Evacuation Model of Large Buildings
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Wang Ruixue, Ding Zewei
Taking the Louvre as an example, this paper studies and analyzes the evacuation plan of large-scale multi-exit large buildings in the event of an emergency. After that, we establishes an adaptive optimization model for different factors and uses Matlab software to finally solve the model by designing the algorithm. First of all, as for the different levels of congestion on different roads during the evacuation, we identify and classify the potential bottlenecks that may limit movement to the exit. The dynamic bottleneck recognition method which based on fuzzy set theory is used to identify and analyze the potential bottle diameter to obtain the membership function of the potential bottle diameter, which is used in our model. Secondly, when establishing a large-scale emergency evacuation model, we grouped the people at each floor to compare the distance between different groups of people and different exits. Last but not the least, during the solution of the model, we first consider the simplest case, that is, the solution algorithm when there is only one floor in the building. Then, based on the algorithm of solving the emergency evacuation model of single-story building, the algorithm for solving the crowd evacuation model in the emergency situation of large buildings such as the Louvre is obtained. Through the established models and algorithms, we built simulation images in the stadium, simulating the scenes of the Louvre in real life, and solving the five-layer evacuation time of the Louvre from low to high are about 7,7,17,9,16 minutes.
Crowd Evacuation Model, Cellular Automaton, Simulation