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Fundamental diagrams for pedestrian traffic flow in controlled experiments

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  • Wang, Peng
  • Cao, Shuchao
  • Yao, Ming

Abstract

Heavy casualties in stampede accidents in recent years have brought new challenge to crowd management and public safety as well. Therefore, a series of controlled experiments were conducted to investigate traffic dynamics of pedestrians in this paper. The fundamental diagrams for unidirectional flow, bidirectional counter flow, bidirectional cross flow and four-directional cross flow are surveyed by using the improved Voronoi diagram measurement method. The maximum specific flow and the optimal density are obtained from the density–flow relation. Furthermore, difference of fundamental diagrams for different pedestrian flows is also discussed. Evolution of individual density and individual velocity in the Voronoi cell is explored and the dangerous area for pedestrians is identified. Movement efficiency under different densities is investigated when passing through the intersection. The study is helpful to develop a modular approach that serves as a basis for the planning and evaluation of large scale public events.

Suggested Citation

  • Wang, Peng & Cao, Shuchao & Yao, Ming, 2019. "Fundamental diagrams for pedestrian traffic flow in controlled experiments," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 266-277.
    • Handle: RePEc:eee:phsmap:v:525:y:2019:i:c:p:266-277
    DOI: 10.1016/j.physa.2019.03.057
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Xianing Wang & Zhan Zhang & Ying Wang & Jun Yang & Linjun Lu, 2022. "A Study on Safety Evaluation of Pedestrian Flows Based on Partial Impact Dynamics by Real-Time Data in Subway Stations," Sustainability, MDPI, vol. 14(16), pages 1-19, August.
    2. Wang, Weili & Zhang, Jingjing & Li, Haicheng & Xie, Qimiao, 2020. "Experimental study on unidirectional pedestrian flows in a corridor with a fixed obstacle and a temporary obstacle," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 560(C).
    3. 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).
    4. 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).
    5. Wang, Yongjie & Shen, Binchang & Wu, Hao & Wang, Chao & Su, Qian & Chen, Wenqiang, 2021. "Modeling illegal pedestrian crossing behaviors at unmarked mid-block roadway based on extended decision field theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 562(C).
    6. Zhang, Hui & Xu, Jie & Jia, Limin & Shi, Yihan, 2021. "Research on walking efficiency of passengers around corner of subway station," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 573(C).
    7. Chen, Siyuan & Fu, Libi & Fang, Jie & Yang, Panyun, 2019. "The effect of obstacle layouts on pedestrian flow in corridors: An experimental study," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).

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