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Modeling the pedestrian behavior at conflicts with vehicles in multi-lane roundabouts (a cellular automata approach)

Author

Listed:
  • Layegh, Maziyar
  • Mirbaha, Babak
  • Rassafi, Amir Abbas

Abstract

This paper discusses the conflicts between vehicle flows and crossing pedestrians at multi-lane roundabout. The conflicts between pedestrians and vehicle in recent years had been of great importance and attempts have been made for analyzing this conflict in different urban street segments such as midblock and signalized intersections. In addition, roundabouts were less emphasized in the related literature and the type of conflicts is quite different due to specific pattern of movements of vehicles. The present study aimed to analyze the pedestrian behavior pattern in an urban multi-lane roundabout. The required data were collected using the video images, along with the trajectory of 89 pedestrian movements. The cellular automata modeling was used to analyze the time and space of the possible conflicts between pedestrians and vehicles. Then, time-to-collision (TTC) and Post-Encroachment Time (PET), as two surrogate safety measures, were used to define the possible conflicts between pedestrian and vehicles. In addition, binary logit models were used for modeling the choice behavior of pedestrians encountering conflicts in the roundabout. The results suggested that middle-aged/elderly pedestrians compared to the teenager/young people are 7% less prone to conflict with vehicles when crossing the roundabout. In addition, the likelihood of conflicts reduced by 26% and 8% when the pedestrians and vehicles had lower speed, respectively. During the possible conflicts, pedestrians selected adjacent cells when the front cells are full, or stay in their place. Otherwise, there is the desire to select the front cells under different conditions. The results can be used to assess the safety of pedestrian in the multi-lane roundabouts and play a significant role in improve pedestrian safety and having better understanding of pedestrians’ behaviors in roundabouts.

Suggested Citation

  • Layegh, Maziyar & Mirbaha, Babak & Rassafi, Amir Abbas, 2020. "Modeling the pedestrian behavior at conflicts with vehicles in multi-lane roundabouts (a cellular automata approach)," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 556(C).
    • Handle: RePEc:eee:phsmap:v:556:y:2020:i:c:s0378437120304374
    DOI: 10.1016/j.physa.2020.124843
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    References listed on IDEAS

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    1. Feng, Shumin & Ding, Ning & Chen, Tao & Zhang, Hui, 2013. "Simulation of pedestrian flow based on cellular automata: A case of pedestrian crossing street at section in China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(13), pages 2847-2859.
    2. Chen, Qun & Wang, Yan, 2015. "Cellular automata (CA) simulation of the interaction of vehicle flows and pedestrian crossings on urban low-grade uncontrolled roads," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 432(C), pages 43-57.
    3. Xin, Xiuying & Jia, Ning & Zheng, Liang & Ma, Shoufeng, 2014. "Power-law in pedestrian crossing flow under the interference of vehicles at an un-signalized midblock crosswalk," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 406(C), pages 287-297.
    4. Li, Xiang & Sun, Jian-Qiao, 2015. "Studies of vehicle lane-changing to avoid pedestrians with cellular automata," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 438(C), pages 251-271.
    5. Zhao, Han-Tao & Yang, Shuo & Chen, Xiao-Xu, 2016. "Cellular automata model for urban road traffic flow considering pedestrian crossing street," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 1301-1313.
    6. Echab, H. & Ez-Zahraouy, H. & Lakouari, N., 2016. "Simulation study of interference of crossings pedestrian and vehicle traffic at a single lane roundabout," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 461(C), pages 854-864.
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    Cited by:

    1. Shang, Xue-Cheng & Li, Xin-Gang & Xie, Dong-Fan & Jia, Bin & Jiang, Rui & Liu, Feng, 2022. "A data-driven two-lane traffic flow model based on cellular automata," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 588(C).
    2. Jiang, Yan-Qun & Hu, Ying-Gang & Huang, Xiaoqian, 2022. "Modeling pedestrian flow through a bottleneck based on a second-order continuum model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 608(P1).

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