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Collision avoidance behaviours of luggage-laden pedestrians

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Listed:
  • Shi, Zhigang
  • Zhang, Jun
  • Shang, Zhigang
  • Song, Weiguo

Abstract

Understanding how pedestrians move and avoid collisions is essential for ensuring safety in crowded environments. In this study, we conducted detailed experiments, focusing on variables such as movement type (walking and running), encounter angles (90 and 180 degrees), and pedestrian characteristics. We analyzed a total of 168 trajectories to gain insights into the collision avoidance strategies employed by luggage-laden pedestrians. Our study highlights the significant impact of luggage on the minimum avoidance distance in vertical encounters, while head-on approaches show limited influence. We use the minimum predicted distance to evaluate time avoidance time, with particular focus on the presence of luggage as a pivotal determinant. Furthermore, we conduct a comprehensive categorization on pedestrian behaviors when carrying luggage, taking into account their speed and trajectory. Our findings reveal distinct strategies adopted by luggage-laden pedestrians when avoiding from the left and right sides. Interestingly, pedestrians employ more efficient conflict mitigation tactics when interacting with luggage-laden individuals approaching from the left compared to the right side. These insights are valuable for optimizing crowd management strategies, particularly in transportation hubs with luggage-laden crowds.

Suggested Citation

  • Shi, Zhigang & Zhang, Jun & Shang, Zhigang & Song, Weiguo, 2024. "Collision avoidance behaviours of luggage-laden pedestrians," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 639(C).
    • Handle: RePEc:eee:phsmap:v:639:y:2024:i:c:s0378437124001730
    DOI: 10.1016/j.physa.2024.129664
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    References listed on IDEAS

    as
    1. Liu, Weisong & Zhang, Jun & Li, Xudong & Song, Weiguo, 2022. "Avoidance behaviors of pedestrians in a virtual-reality-based experiment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 590(C).
    2. Fu, Libi & Chen, Yunqian & Qin, Huigui & Chen, Qiyi & He, Yangjian & Shi, Yongqian, 2023. "Dynamics of merging flow involving luggage-laden pedestrians in a Y-shaped corridor: An experimental study," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 628(C).
    3. Shi, Zhigang & Zhang, Jun & Shang, Zhigang & Fan, Minghao & Song, Weiguo, 2022. "The effect of obstacle layouts on regulating luggage-laden pedestrian flow through bottlenecks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 608(P1).
    4. Huang, Shenshi & Wei, Ruichao & Lo, Siuming & Lu, Shouxiang & Li, Changhai & An, Chao & Liu, Xiaoxia, 2019. "Experimental study on one-dimensional movement of luggage-laden pedestrian," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 516(C), pages 520-528.
    5. Shi, Dongdong & Ma, Jian & Luo, Qian & Li, Xiaofei & Chen, Juan & Lin, Peng, 2021. "Fundamental diagrams of luggage-laden pedestrians ascending and descending stairs," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 572(C).
    6. Shi, Zhigang & Zhang, Jun & Song, Weiguo, 2021. "Where luggage-related facilities should be placed along passageways in traffic hubs: Right, left, or in the middle?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 583(C).
    7. Gao, Yuxing & Zhuang, Yifan & Dong, Fangshu & Peng, Fei & Zhang, Ping & Yang, Lizhong & Ni, Yong, 2020. "Experimental study on the effect of trolley case on unidirectional pedestrian flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 544(C).
    8. Zhi Ming Fang & Wei Lv & Li-Xue Jiang & Qing-Feng Xu & Wei-Guo Song, 2015. "Observation, simulation and optimization of the movement of passengers with baggage in railway station," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 26(11), pages 1-15.
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