Experiment and simulation of the bidirectional pedestrian flow model with overtaking and herding behavior

Jun Hu, Zhongwen Li, Hong Zhang, Juan Wei (), Lei You and Peng Chen
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Jun Hu: Faculty of Computer Science, Chengdu Normal University, Chengdu 611130, China;
Zhongwen Li: College of Information Science and Technology, Chengdu University, Chengdu 610106, China
Hong Zhang: College of Information Science and Technology, Chengdu University, Chengdu 610106, China
Juan Wei: Faculty of Computer Science, Chengdu Normal University, Chengdu 611130, China
Lei You: Faculty of Computer Science, Chengdu Normal University, Chengdu 611130, China;
Peng Chen: Faculty of Computer Science, Chengdu Normal University, Chengdu 611130, China

International Journal of Modern Physics C (IJMPC), 2015, vol. 26, issue 11, 1-14

Abstract: In order to effectively depict the characteristics of bidirectional pedestrian flow, a novel pedestrian flow model is proposed based on cellular automata. At first, according to direction gain, velocity gain and herding gain, the calculation formula of target position is defined, and the walking rules by combining overtaking behavior and herding behavior are given in the model. Meanwhile, the actual channel is used for experiments, where the self-organizing effect formed by pedestrian flow is observed. The simulation platform is established to study the key factors influencing pedestrian flow characteristics. The numerical analysis results showed that when the pedestrian density in the channel reached to the critical degree, the overtaking behavior can easily produce jamming. Moreover, pedestrians' rational choice is good for relieving jamming.

Keywords: Bidirectional pedestrian flow; self-organizing effect; overtaking; herding (search for similar items in EconPapers)
Date: 2015
References: View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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DOI: 10.1142/S0129183115501314

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