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.
Model and Simulation of Bi-Directional Pedestrian Flow Self-Organization Based on Cellular Automata
17th COTA International Conference of Transportation Professionals ; 2017 ; Shanghai, China
CICTP 2017 ; 4077-4083
18.01.2018
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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