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Experimental study on relaxation time in direction changing movement

Author

Listed:
  • Liu, Chi
  • Song, Weiguo
  • Fu, Libi
  • Lian, Liping
  • Lo, Siuming

Abstract

Controlled experiments were conducted to clarify the movement characteristics of pedestrians in direction changing processes. We track pedestrians’ trajectories and map them into real space coordinates by the direct linear transformation method. In the acceleration process, the relaxation time and free moving speed in our experiments respectively equal 0.659 s and 1.540 m/s, which are consistent with those for Chinese participants in other experiments. Meanwhile, the values of relaxation time in the direction changing process are calculated by a derived equation from the concept of the social force model. It is observed that the relaxation time is not an invariable parameter, and tends to increase with an increase in the angular difference. Furthermore, results show that pedestrians are insensitive to a tiny angular difference between instantaneous velocity and desired velocity. These experimental results presented in this work can be applied in model development and validation.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:phsmap:v:468:y:2017:i:c:p:44-52
    DOI: 10.1016/j.physa.2016.10.037
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    References listed on IDEAS

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    1. Blue, Victor J. & Adler, Jeffrey L., 2001. "Cellular automata microsimulation for modeling bi-directional pedestrian walkways," Transportation Research Part B: Methodological, Elsevier, vol. 35(3), pages 293-312, March.
    2. Muramatsu, Masakuni & Irie, Tunemasa & Nagatani, Takashi, 1999. "Jamming transition in pedestrian counter flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 267(3), pages 487-498.
    3. Duives, Dorine C. & Daamen, Winnie & Hoogendoorn, Serge P., 2016. "Continuum modelling of pedestrian flows — Part 2: Sensitivity analysis featuring crowd movement phenomena," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 447(C), pages 36-48.
    4. Hoogendoorn, Serge P. & van Wageningen-Kessels, Femke L.M. & Daamen, Winnie & Duives, Dorine C., 2014. "Continuum modelling of pedestrian flows: From microscopic principles to self-organised macroscopic phenomena," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 416(C), pages 684-694.
    5. Liu, Xuan & Song, Weiguo & Zhang, Jun, 2009. "Extraction and quantitative analysis of microscopic evacuation characteristics based on digital image processing," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(13), pages 2717-2726.
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    Cited by:

    1. Sun, Cheng & Sun, Shi & Qu, Dagang & Zhu, Xun & Liu, Ying, 2023. "Modeling of pedestrian turning behavior and prediction of pedestrian density distribution," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 630(C).
    2. Wang, Xinjian & Liu, Zhengjiang & Wang, Jin & Loughney, Sean & Yang, Zaili & Gao, Xiaowei, 2021. "Experimental study on individual walking speed during emergency evacuation with the influence of ship motion," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 562(C).
    3. Ma, Liang & Chen, Bin & Wang, Xiaodong & Zhu, Zhengqiu & Wang, Rongxiao & Qiu, Xiaogang, 2019. "The analysis on the desired speed in social force model using a data driven approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 894-911.
    4. 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).

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