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Single-file movement of pedestrians at different visibility levels

Author

Listed:
  • Cao, Shuchao
  • Wang, Zhixiang
  • Zeng, Guang
  • Ren, Xiangxia
  • Li, Xiaolian

Abstract

Previous studies indicate that the movement of pedestrians under poor visibility conditions is significantly different from that under good visibility conditions. To investigate the influence of visibility factor on the longitudinal movement of pedestrian, series of single-file experiments were performed under the quantitative control of visibility level. Based on the extracted trajectories, typical evacuation behavior and movement characteristics of pedestrians under different visibility conditions are explored. It is found that the lateral swing amplitude of pedestrians during movement is within 20 cm under low densities while it is close to 30 cm at high densities. The free velocity under the light transmission of 100 %, 2.2 %, 0.5 % and 0.1 % is 0.856 m/s, 0.823 m/s, 0.741 m/s and 0.712 m/s respectively. Individuals cannot accurately perceive the surrounding situations with the worsening of visual condition, therefore the movement speed decreases under the poor visibilities. Besides, two regimes including the constrained regime and free regime are identified in the headway-velocity relation at different visibility levels. The maximum specific flow under the light transmission of 100 %, 2.2 %, 0.5 % and 0.1 % is 0.70 s−1, 0.67 s−1, 0.62 s−1 and 0.55 s−1 respectively. The study is helpful to reveal the pedestrian dynamics of single-file movement under the limited visibility conditions.

Suggested Citation

  • Cao, Shuchao & Wang, Zhixiang & Zeng, Guang & Ren, Xiangxia & Li, Xiaolian, 2024. "Single-file movement of pedestrians at different visibility levels," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 649(C).
  • Handle: RePEc:eee:phsmap:v:649:y:2024:i:c:s0378437124004916
    DOI: 10.1016/j.physa.2024.129982
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    References listed on IDEAS

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    1. Ujjal Chattaraj & Armin Seyfried & Partha Chakroborty, 2009. "Comparison Of Pedestrian Fundamental Diagram Across Cultures," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 12(03), pages 393-405.
    2. Cao, Shuchao & Lian, Liping & Chen, Mingyi & Yao, Ming & Song, Weiguo & Fang, Zhiming, 2018. "Investigation of difference of fundamental diagrams in pedestrian flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 661-670.
    3. Lian, Liping & Ye, Rui & Xia, Long & Song, Weiguo & Zhang, Jun & Li, Xiaolian, 2022. "Pedestrian dynamics in single-file merging flows," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 600(C).
    4. Dirk Helbing & Illés Farkas & Tamás Vicsek, 2000. "Simulating dynamical features of escape panic," Nature, Nature, vol. 407(6803), pages 487-490, September.
    5. Xue, Shuqi & Shiwakoti, Nirajan, 2023. "A meta-synthesis of experimental studies of pedestrian movement in single-file flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 630(C).
    6. Wei, Yidong & Hu, Zuoan & Zeng, Tian & Xie, Wei & Ma, Yi, 2023. "Influence of walkway slope on single-file pedestrian flow dynamics: Results from an experimental study," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 630(C).
    7. Zeng, Guang & Zhang, Jun & Ye, Rui & Cao, Shuchao & Song, Weiguo, 2022. "Pedestrian dynamics of single-file experiments with music considering different music and different instructions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 594(C).
    8. Armin Seyfried & Oliver Passon & Bernhard Steffen & Maik Boltes & Tobias Rupprecht & Wolfram Klingsch, 2009. "New Insights into Pedestrian Flow Through Bottlenecks," Transportation Science, INFORMS, vol. 43(3), pages 395-406, August.
    9. Zeng, Guang & Ye, Rui & Zhang, Jun & Cao, Shuchao & Song, Weiguo, 2023. "Macroscopic and microscopic movement properties of the fast walking pedestrian flow with single-file experiments," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 630(C).
    10. Jin, Cheng-Jie & Jiang, Rui & Li, Ruiwen & Li, Dawei, 2019. "Single-file pedestrian flow experiments under high-density conditions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 531(C).
    11. Ye, Rui & Zeng, Yiping & Zeng, Guang & Huang, Zhongyi & Li, Xiaolian & Fang, Zhiming & Song, Weiguo, 2021. "Pedestrian single-file movement on stairs under different motivations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 571(C).
    12. Serge P. Hoogendoorn & W. Daamen, 2005. "Pedestrian Behavior at Bottlenecks," Transportation Science, INFORMS, vol. 39(2), pages 147-159, May.
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