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Linking pedestrian flow characteristics with stepping locomotion

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  • Wang, Jiayue
  • Boltes, Maik
  • Seyfried, Armin
  • Zhang, Jun
  • Ziemer, Verena
  • Weng, Wenguo

Abstract

While properties of human traffic flow are described by speed, density and flow, the locomotion of pedestrian is based on steps. To relate characteristics of human locomotor system with properties of human traffic flow, this paper aims to connect gait characteristics like step length, step frequency, swaying amplitude and synchronization with speed and density and thus to build a ground for advanced pedestrian models. For this aim, observational and experimental study on the single-file movement of pedestrians at different densities is conducted. Methods to measure step length, step frequency, swaying amplitude and step synchronization are proposed by means of trajectories of the head. Mathematical models for the relations of step length or frequency and speed are evaluated. The problem how step length and step duration are influenced by factors like body height and density is investigated. It is shown that the effect of body height on step length and step duration changes with density. Furthermore, two different types of step in-phase synchronization between two successive pedestrians are observed and the influence of step synchronization on step length is examined.

Suggested Citation

  • Wang, Jiayue & Boltes, Maik & Seyfried, Armin & Zhang, Jun & Ziemer, Verena & Weng, Wenguo, 2018. "Linking pedestrian flow characteristics with stepping locomotion," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 500(C), pages 106-120.
    • Handle: RePEc:eee:phsmap:v:500:y:2018:i:c:p:106-120
    DOI: 10.1016/j.physa.2018.02.021
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    References listed on IDEAS

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    7. Paetzke, Sarah & Boltes, Maik & Seyfried, Armin, 2022. "Influence of individual factors on fundamental diagrams of pedestrians," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 595(C).
    8. Fu, Zhijian & Xiong, Xingwen & Luo, Lin & Yang, Yunjia & Feng, Yujing & Chen, Hua, 2022. "Influence of rotation on pedestrian flow considering bipedal features: Modeling using a fine discrete floor field cellular automaton," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 605(C).
    9. Thompson, Peter & Tavana, Hossein & Goulding, Cathy & Frantzich, Håkan & Boyce, Karen & Nilsson, Daniel & Larsson, Gabriel & Friholm, Jesper & McGrath, Denise, 2022. "Experimental analyses of step extent and contact buffer in pedestrian dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 593(C).

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