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Experimental study on dynamics characteristic parameter of turning behavior in self-driven mechanism

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  • Cheng, Han
  • Peng, Fei
  • Huang, Danyan
  • Liu, Shaobo
  • Ni, Yong
  • Yang, Lizhong

Abstract

When changing their walking direction, pedestrians would choose different strategies for different turning angles. Step turn is for a small angle, and spin turn is for a large angle. However, previous studies on the mechanism of individual pedestrian modeling have rarely focused on this phenomenon. To clarify this point, this study performed experiments on individuals to investigate the turning process in three different physical environments—brightness, darkness with evacuation sign, and darkness without evacuation sign. Based on the self-driven mechanism, we propose a dynamical parameter to describe the features of individual turning behavior, i.e., turning scale. The experimental results indicate that when the turning radius is small, the pedestrian would apply significantly more force to increase the centripetal acceleration than the tangential acceleration to make the turn. Hereby, our work validates the existence of different turning strategies for different turning angles. Further, the difference in the choice of strategies in different physical environments is analyzed. The research achievements in this work provide a new insight to investigate pedestrian behavior, and provide data support for modeling individual pedestrian movements more accurately.

Suggested Citation

  • Cheng, Han & Peng, Fei & Huang, Danyan & Liu, Shaobo & Ni, Yong & Yang, Lizhong, 2020. "Experimental study on dynamics characteristic parameter of turning behavior in self-driven mechanism," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 549(C).
    • Handle: RePEc:eee:phsmap:v:549:y:2020:i:c:s0378437120302181
    DOI: 10.1016/j.physa.2020.124497
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    References listed on IDEAS

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    1. Ma, Peijie & Jiang, Yanqun & Zhu, Junfang & Chen, Bokui, 2019. "The effect of escape signs on the pedestrians evacuation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
    2. Chen Zhou & Ming Han & Qi Liang & Yi-Fei Hu & Shu-Guang Kuai, 2019. "A social interaction field model accurately identifies static and dynamic social groupings," Nature Human Behaviour, Nature, vol. 3(8), pages 847-855, August.
    3. Xu Chen & Martin Treiber & Venkatesan Kanagaraj & Haiying Li, 2018. "Social force models for pedestrian traffic – state of the art," Transport Reviews, Taylor & Francis Journals, vol. 38(5), pages 625-653, September.
    4. Liu, Chi & Song, Weiguo & Fu, Libi & Lian, Liping & Lo, Siuming, 2017. "Experimental study on relaxation time in direction changing movement," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 468(C), pages 44-52.
    5. Parisi, Daniel R. & Gilman, Marcelo & Moldovan, Herman, 2009. "A modification of the Social Force Model can reproduce experimental data of pedestrian flows in normal conditions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(17), pages 3600-3608.
    6. 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).
    7. Zhao, Yongxiang & Lu, Tuantuan & Su, Wenliang & Wu, Peng & Fu, Libi & Li, Meifang, 2019. "Quantitative measurement of social repulsive force in pedestrian movements based on physiological responses," Transportation Research Part B: Methodological, Elsevier, vol. 130(C), pages 1-20.
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    Cited by:

    1. Xie, Qimiao & Wu, Yaxin & Wang, Yitian & Zhang, Hui, 2024. "A multi-grid evacuation model considering the effects of different turning types," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 635(C).

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