Simulation study of overtaking in pedestrian flow using floor field cellular automaton model

Zhijian Fu, Liang Xia, Hongtai Yang, Xiaobo Liu, Jian Ma (), Lin Luo, Lizhong Yang and Junmin Chen
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Zhijian Fu: School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, P. R. China†National United Engineering Laboratory of Integrated and Intelligent Transportation, Southwest Jiaotong University, Chengdu 610031, P. R. China
Liang Xia: School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, P. R. China
Hongtai Yang: School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, P. R. China†National United Engineering Laboratory of Integrated and Intelligent Transportation, Southwest Jiaotong University, Chengdu 610031, P. R. China
Xiaobo Liu: School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, P. R. China†National United Engineering Laboratory of Integrated and Intelligent Transportation, Southwest Jiaotong University, Chengdu 610031, P. R. China
Jian Ma: School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, P. R. China
Lin Luo: #xB6;State Key Laboratory of Fire Science, University of Science and Technology of China, Hefei 230026, P. R. China
Lizhong Yang: #xB6;State Key Laboratory of Fire Science, University of Science and Technology of China, Hefei 230026, P. R. China∥Collaborative Innovation Center for Urban Public Safety, Hefei 230026, P. R. China
Junmin Chen: *Faculty of Geosciences and Environmental Engineering, State-Province Joint Engineering Laboratory of Spatial, Information Technology of High-Speed Rail Safety, Southwest Jiaotong University, Chengdu 610031, P. R. China

International Journal of Modern Physics C (IJMPC), 2017, vol. 28, issue 05, 1-17

Abstract: Properties of pedestrian may change along the moving path, for example, as a result of fatigue or injury, which has never been properly investigated in the past research. The paper attempts to study tactical overtaking in pedestrian flow. That is difficult to be modeled using a microscopic discrete model because of the complexity of the detailed overtaking behavior, and crossing/overlaps of pedestrian routes. Thus, a multi-velocity floor field cellular automaton model explaining the detailed psychical process of overtaking decision was proposed. Pedestrian can be either in normal state or in tactical overtaking state. Without tactical decision, pedestrians in normal state are driven by the floor field. Pedestrians make their tactical overtaking decisions by evaluating the walking environment around the overtaking route (the average velocity and density around the route, visual field of pedestrian) and obstructing conditions (the distance and velocity difference between the overtaking pedestrian and the obstructing pedestrian). The effects of tactical overtaking ratio, free velocity dispersion, and visual range on fundamental diagram, conflict density, and successful overtaking ratio were explored. Besides, the sensitivity analysis of the route factor relative intensity was performed.

Keywords: Pedestrian flow; cellular automaton; tactical overtaking; route evaluation (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (3)

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DOI: 10.1142/S0129183117500590

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