Model and Simulation of Bi-Directional Pedestrian Flow Self-Organization Based on Cellular Automata

摘要

In order to consider pedestrian characteristics more comprehensively in the simulation model of bi-directional pedestrian flow, and study the effect of companion behavior on bi-directional pedestrian flow, this paper established a dynamic parameter model considering the behavior of companions by using cellular automata. The model used design parameters of direction, empty, forward, and category to reflect people's walking characteristics in bi-directional pedestrian flow. Through simulation experiments, this study obtained the final form of self-organization phenomenon with different proportions of companions and the time step of self-organization formed in different groups. The results show that the formation of self-organization behavior requires more time in the presence of more pedestrians, and the number of pedestrian passages eventually formed changed irregularly.