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Simulated interactions of pedestrian crossings and motorized vehicles in residential areas

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  • Wang, Yan
  • Peng, Zhongyi
  • Chen, Qun

Abstract

To evaluate whether motorized vehicles can travel through a residential area, this paper develops a cellular automata (CA) model to simulate the interactions between pedestrian crossings and motorized vehicles in a residential area. In this paper, pedestrians determine their crossing speed according to their judgments of the position and velocity of the upcoming vehicles. The pedestrians may walk slowly or quickly or even run, and the pedestrian crossing time influences the vehicle movement. In addition, the proposed model considers the safety margin time needed for pedestrians to cross, and pedestrian–vehicle conflict is considered using the vehicle collision avoidance rule. Through simulations of interactions of pedestrian crossings with motorized vehicles’ movement on a typical road in a residential area, the average wait time for pedestrians to cross and the average vehicle velocity under different pedestrian crossing volumes, different vehicle flows and different maximum vehicle velocities are obtained. To avoid an excessive waiting time for pedestrians to cross, the vehicle flow should be less than 180 veh/h, which allows an average of less than 10 s of waiting time; if the vehicle flow rate is less than 36 veh/h, then the waiting time is approximately 1 s. Field observations are conducted to validate the simulation results.

Suggested Citation

  • Wang, Yan & Peng, Zhongyi & Chen, Qun, 2018. "Simulated interactions of pedestrian crossings and motorized vehicles in residential areas," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 1046-1060.
  • Handle: RePEc:eee:phsmap:v:490:y:2018:i:c:p:1046-1060
    DOI: 10.1016/j.physa.2017.08.138
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    References listed on IDEAS

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    Cited by:

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    2. Bi, Hui & Li, Aoyong & Zhu, He & Ye, Zhirui, 2023. "Bicycle safety outside the crosswalks: Investigating cyclists' risky street-crossing behavior and its relationship with built environment," Journal of Transport Geography, Elsevier, vol. 108(C).

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