架构人行横道
行人
社会力量模型
流量(数学)
流量(计算机网络)
模拟
人行横道
计算机科学
非线性系统
运输工程
工程类
数学
物理
几何学
计算机安全
量子力学
作者
Libi Fu,Ying Zhang,Huigui Qin,Qingxin Shi,Qiyi Chen,Yunqian Chen,Yongqian Shi
标识
DOI:10.1016/j.chaos.2023.113813
摘要
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.
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