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Pedestrian choice behavior analysis and simulation of ticket gate machine in rail transit station

Author

Listed:
  • Yongxing Li

    (School of Civil and Environmental Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, Singapore2School of Transportation, Jilin University, Changchun 130022, P. R. China)

  • David Z.W. Wang

    (School of Civil and Environmental Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, Singapore)

  • Yanyan Chen

    (College of Metropolitan Transportation, Beijing University of Technology, Beijing 100124, P. R. China)

  • Chengcheng Song

    (College of Metropolitan Transportation, Beijing University of Technology, Beijing 100124, P. R. China)

  • Hongfei Jia

    (School of Transportation, Jilin University, Changchun 130022, P. R. China)

  • Yu Lin

    (School of Transportation, Jilin University, Changchun 130022, P. R. China)

Abstract

Considering pedestrian preferences for the minimum distance, the minimum number of queuing pedestrians and the shortest estimated time, three pedestrian choice strategies of ticket gate machine are proposed. Pedestrian choice strategies of ticket gate machine are added into pedestrian simulation model which is based on cellular automata, and pedestrian choice behavior simulation model of ticket gate machine is obtained. On the platform of MATLAB simulation software, pedestrian choice behavior is simulated. Simulation results indicate that choice strategies of ticket gate machine proposed in this paper describe pedestrian choice behavior well, and it needs to consider the ratio of bidirectional pedestrian generation rate in the process of setting ticket gate machines in the bidirectional passage.

Suggested Citation

  • Yongxing Li & David Z.W. Wang & Yanyan Chen & Chengcheng Song & Hongfei Jia & Yu Lin, 2019. "Pedestrian choice behavior analysis and simulation of ticket gate machine in rail transit station," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 30(04), pages 1-18, April.
    • Handle: RePEc:wsi:ijmpcx:v:30:y:2019:i:04:n:s012918311950027x
    DOI: 10.1142/S012918311950027X
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    Cited by:

    1. Xue Lin & Long Cheng & Shuo Zhang & Qianling Wang, 2023. "Simulating the Effects of Gate Machines on Crowd Traffic Based on the Modified Social Force Model," Mathematics, MDPI, vol. 11(3), pages 1-12, February.

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