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Analysis of Behavior Characteristics for Pedestrian Twice-Crossing at Signalized Intersections Based on an Improved Social Force Model

Author

Listed:
  • Yongqing Guo

    (School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, China)

  • Siyuan Ma

    (School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, China)

  • Fulu Wei

    (School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, China)

  • Liqun Lu

    (School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, China)

  • Feng Sun

    (School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, China)

  • Jie Wang

    (School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo 255000, China)

Abstract

At urban signalized intersections, pedestrian twice-crossing is usually viewed as a complex human behavior, since there are many factors influencing it. Mostly, pedestrians engage in a complicated cognitive process of perception, attention and decision-making. Therefore, it is necessary to identify the major factors affecting this behavior, and develop an effective pedestrian dynamic model, in order to increase the safety and efficiency of crossing streets. This study proposes a force-based model of pedestrian dynamics by improving the classic social force model, in order to determine the influencing factors and quantify the forces acting on pedestrians crossing in two stages at signalized intersections. Through analyzing the characteristics of pedestrian twice-crossing behavior, the social force model was enhanced by providing a new component of the green signal countdown. The improved model includes four parts of the self-driving force in the ideal state, the repulsive and attractive forces generated by surrounding pedestrians, the resistance of the crosswalk boundary line, and the force produced by the green signal countdown. Each part was considered with qualitative analysis and quantitative calculation. The results show that the proposed model can achieve high accuracy in measuring the forces acting on pedestrian twice-crossing. The findings of this study have great implications for designing pedestrian facilities and optimizing pedestrian signal timings, helping thus to increase the mobility and safety of pedestrian twice-crossing.

Suggested Citation

  • Yongqing Guo & Siyuan Ma & Fulu Wei & Liqun Lu & Feng Sun & Jie Wang, 2022. "Analysis of Behavior Characteristics for Pedestrian Twice-Crossing at Signalized Intersections Based on an Improved Social Force Model," Sustainability, MDPI, vol. 14(4), pages 1-17, February.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:4:p:2003-:d:746164
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    References listed on IDEAS

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    1. Ma, Liang & Chen, Bin & Wang, Xiaodong & Zhu, Zhengqiu & Wang, Rongxiao & Qiu, Xiaogang, 2019. "The analysis on the desired speed in social force model using a data driven approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 894-911.
    2. Jiang, J. & Lu, D. & Jiang, Y. & Lee, Z. & Zhang, Y. & Yu, J., 2018. "Understanding environment-influenced swarm behavior from a social force perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 492(C), pages 724-736.
    3. Sticco, I.M. & Frank, G.A. & Dorso, C.O., 2021. "Social Force Model parameter testing and optimization using a high stress real-life situation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 561(C).
    4. Zhang, Hao & Liu, Hong & Qin, Xin & Liu, Baoxi, 2018. "Modified two-layer social force model for emergency earthquake evacuation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 492(C), pages 1107-1119.
    5. Kang, Zengxin & Zhang, Lei & Li, Kun, 2019. "An improved social force model for pedestrian dynamics in shipwrecks," Applied Mathematics and Computation, Elsevier, vol. 348(C), pages 355-362.
    6. Dirk Helbing & Lubos Buzna & Anders Johansson & Torsten Werner, 2005. "Self-Organized Pedestrian Crowd Dynamics: Experiments, Simulations, and Design Solutions," Transportation Science, INFORMS, vol. 39(1), pages 1-24, February.
    7. Han, Yanbin & Liu, Hong, 2017. "Modified social force model based on information transmission toward crowd evacuation simulation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 469(C), pages 499-509.
    8. Zhao, Yongxiang & Lu, Tuantuan & Su, Wenliang & Wu, Peng & Fu, Libi & Li, Meifang, 2019. "Quantitative measurement of social repulsive force in pedestrian movements based on physiological responses," Transportation Research Part B: Methodological, Elsevier, vol. 130(C), pages 1-20.
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    Cited by:

    1. Jiaying Qin & Sasa Ma & Lei Zhang & Qianling Wang & Guoce Feng, 2022. "Modeling and Simulation for Non-Motorized Vehicle Flow on Road Based on Modified Social Force Model," Mathematics, MDPI, vol. 11(1), pages 1-18, December.
    2. Xianing Wang & Zhan Zhang & Ying Wang & Jun Yang & Linjun Lu, 2022. "A Study on Safety Evaluation of Pedestrian Flows Based on Partial Impact Dynamics by Real-Time Data in Subway Stations," Sustainability, MDPI, vol. 14(16), pages 1-19, August.
    3. Kayvan Aghabayk & Alireza Soltani & Nirajan Shiwakoti, 2022. "Investigating Pedestrians’ Exit Choice with Incident Location Awareness in an Emergency in a Multi-Level Shopping Complex," Sustainability, MDPI, vol. 14(19), pages 1-21, September.
    4. Siyuan Ma & Yongqing Guo & Fulu Wei & Qingyin Li & Zhenyu Wang, 2022. "An Improved Social Force Model of Pedestrian Twice–Crossing Based on Spatial–Temporal Trajectory Characteristics," Sustainability, MDPI, vol. 14(24), pages 1-14, December.

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