A cellular automaton evacuation model based on random fuzzy minimum spanning tree

Abstract

To address efficiency and security problem of pedestrian evacuation in indoor space, a cellular automaton evacuation model is proposed based on the random fuzzy minimum spanning tree. First, based on field, crowding coefficient and available path capacity, the model defines the calculation formula of pedestrian movement probability and provides detailed evacuation optimization method and its evolution process. At last, we use the established simulation platform to make computer experiments, analyzing the relation of evacuation time, exit flow rate, exit crowding coefficient and available path capacity in order to obtain more realistic pedestrian flow characteristics. The result has shown that the model has good adaptability.