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A modified social force model for studying nonlinear dynamics of pedestrian-e-bike mixed flow at a signalized crosswalk

Author

Listed:
  • Fu, Libi
  • Zhang, Ying
  • Qin, Huigui
  • Shi, Qingxin
  • Chen, Qiyi
  • Chen, Yunqian
  • Shi, Yongqian

Abstract

Mixed-traffic crosswalks with disordered e-bikes are one of the most common conflict zones in urban traffic. The frequent interactions between pedestrians and e-bikes may result in a reduction in traffic efficiency and safety at intersections. It is necessary to understand nonlinear dynamics of the mixed traffic flow. This study presents a modified social force model to describe complex phenomena of pedestrian-e-bike mixed flow at a signalized crosswalk. Geometry of e-bikes, visual range and typical behaviors (i.e., avoidance behaviors) are introduced in our model, and compared with an observational experiment. The proportion of e-bikes and the impact of the lane of e-bikes on pedestrians' walking comfort and safety are discussed. The arrival rate of e-bikes and the impact of the setting of the lane of e-bikes are analyzed. It is proved that pedestrians' comfort decreases with the increasing proportion of e-bikes. The pressure of the pedestrian-e-bike mixed flow is higher than that at a conventional crosswalk without e-bikes. The maximum crossing time of e-bikes decreases with the increasing width of the lane of e-bikes. Correspondingly, when the width of the lane of e-bikes increases, the average speed of e-bikes increases. Results suggest that an appropriate width of the lane of e-bikes has a positive influence on mixed flow. The study is helpful to an in-depth understanding of nonlinear dynamics in pedestrian-e-bike mixed flow, and is beneficial to safe pedestrian facility design.

Suggested Citation

  • Fu, Libi & Zhang, Ying & Qin, Huigui & Shi, Qingxin & Chen, Qiyi & Chen, Yunqian & Shi, Yongqian, 2023. "A modified social force model for studying nonlinear dynamics of pedestrian-e-bike mixed flow at a signalized crosswalk," Chaos, Solitons & Fractals, Elsevier, vol. 174(C).
    • Handle: RePEc:eee:chsofr:v:174:y:2023:i:c:s0960077923007142
    DOI: 10.1016/j.chaos.2023.113813
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    References listed on IDEAS

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