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Effect of turning curvature on the single-file dynamics of pedestrian flow: An experimental study

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  • Fu, Zhijian
  • Li, Tao
  • Deng, Qiangqiang
  • Schadschneider, Andreas
  • Luo, Lin
  • Ma, Jian

Abstract

Previous studies have shown considerable discrepancies in the characteristics of pedestrian flow obtained in different experiments. So far, the origin of these discrepancies is not well understood. Here we test a possible mechanism by studying the possible influence of geometry on pedestrian traffic by controlled experiments in different set-ups. By combining instantaneous and improved local measurements we find strong indications for an influence of curvature on the flow properties comparing local flows and densities for an oval set-up, which includes a straight part, and a circular set-up. In the jamming phase, the most efficient flow appears in the straight passage (curvature K=0) where the flow is about 20% higher than in the curved parts. We relate this reduction of flow in the curved part to the spatial distribution of pedestrians. Results for the headway distribution indicate that the curvature induces a more homogeneous distribution of pedestrians than the one observed for the straight part. The distribution on the straight part is more heterogeneous which seems to allow a more efficient use of the available space leading to larger flows.

Suggested Citation

  • Fu, Zhijian & Li, Tao & Deng, Qiangqiang & Schadschneider, Andreas & Luo, Lin & Ma, Jian, 2021. "Effect of turning curvature on the single-file dynamics of pedestrian flow: An experimental study," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 563(C).
    • Handle: RePEc:eee:phsmap:v:563:y:2021:i:c:s0378437120307457
    DOI: 10.1016/j.physa.2020.125405
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    References listed on IDEAS

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    6. Luo, Lin & Liu, Xiaobo & Fu, Zhijian & Ma, Jian & Liu, Fanxiao, 2020. "Modeling following behavior and right-side-preference in multidirectional pedestrian flows by modified FFCA," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 550(C).
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    1. 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).
    2. 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).
    3. Luo, Lin & Luo, Yangqi & Feng, Yujing & Li, Tao & Fu, Zhijian, 2022. "Experimental investigation on pedestrian–bicycle mixed merging flow in T-junction," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 600(C).
    4. 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).
    5. 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).
    6. Fu, Zhijian & Yang, Yunjia & Feng, Yujing & Xiong, Xingwen & Yuan, Zhilu & Luo, Lin, 2024. "Experimental study on pedestrian behavior in right-angled corners: Influence of departure position and passage width," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 633(C).

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