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

Libi Fu, Ying Zhang, Huigui Qin, Qingxin Shi, Qiyi Chen, Yunqian Chen and Yongqian Shi

Chaos, Solitons & Fractals, 2023, vol. 174, issue C

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.

Keywords: Social force model; Mixed traffic flow; Nonlinear dynamics; Crosswalk (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:174:y:2023:i:c:s0960077923007142

DOI: 10.1016/j.chaos.2023.113813

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