Experimental study on the evading behaviour of single pedestrians encountering an obstacle

Authors

  • Xiaolu Jia Department of Advanced Interdisciplinary Studies, School of Engineering, The University of Tokyo 4-6-1 Komaba, Meguro-ku, Tokyo 153-8904, Japan
  • Claudio Feliciani Research Center for Advanced Science and Technology, The University of Tokyo 4-6-1 Komaba, Meguro-ku, Tokyo 153-8904, Japan
  • Daichi Yanagisawa Research Center for Advanced Science and Technology, The University of Tokyo 4-6-1 Komaba, Meguro-ku, Tokyo 153-8904, Japan and Department of Aeronautics and Astronautics, Graduate School of Engineering, The University of Tokyo 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan
  • Katsuhiro Nishinari Research Center for Advanced Science and Technology, The University of Tokyo 4-6-1 Komaba, Meguro-ku, Tokyo 153-8904, Japan and Department of Aeronautics and Astronautics, Graduate School of Engineering, The University of Tokyo 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan

DOI:

https://doi.org/10.17815/CD.2020.36

Keywords:

evading behaviour, obstacle size, velocity variation, evading trajectory, individual experiments

Abstract

Present simulation and experimental research still have deficiency in depicting the evading behaviour of single pedestrians confronting with an obstacle, which is the basis for the study of crowd dynamics affected by obstacles in real life. Therefore, this study will conduct experiments with a bar-shaped obstacle in the middle of a corridor and explore the corresponding general and particular features of single pedestrians. Particularly, the variation of pedestrian velocity and trajectory under different-sized obstacles will be illustrated. By taking the average velocity and trajectories of the 32 participants, it could be concluded that pedestrians would walk at a velocity of about 1.5 m/s without being affected by the size of obstacle. Besides, pedestrians tend to pass a location about 0.4 meters away from the obstacle edge that is perpendicular to walking direction. Furthermore, pedestrians tend to begin and finish evading the obstacle at locations respectively about 4.40 meters and 4.85 meters away from the obstacle. We also found a heterogeneity in the evading behaviour and pedestrians could be classified into four types accordingly. Results of this study are expected to provide reliable evidence for agent-based modelling in the future.

References

V. Blue and J. Adler, “Modeling four-directional pedestrian flows,” Transportation Research Record,

vol. 1710, no. 1, pp. 20-27, 2000.

D. Helbing, I. Farkas and T. Vicsek, “Simulating dynamical features of escape panic,” Nature, vol.

, no. 6803, pp. 487-90, 2000.

P. Fiorini, “Motion planning in dynamic environments using velocity obstacles”, International Journal

of Robotics Research, vol. 17, no. 7, pp. 760-772, 1998.

C. Fulgenzi, A. Spalanzani, and C. Laugier, “Dynamic obstacle avoidance in uncertain environment

combining PVOs and occupancy grid,” Proceeding of the IEEE International Conference on Robotics

and Automation, Rome, France, 2007, pp. 1610-1616.

Z. Zhou, Y. Liu, W. Wang, et al., “Multinomial logit model of pedestrian crossing behaviours at

signalized intersections”, Discrete Dynamics in Nature and Society, vol. 2013, pp. 1-8.

D. Yanagisawa, A. Kimura, A. Tomoeda, et al., “Introduction of frictional and turning function for

pedestrian outflow with an obstacle”, Physical Review E, vol. 80, no. 2, pp. 036110, 2009.

G. Frank and C. Dorso, “Room evacuation in the presence of an obstacle,” Physica A, vol. 390, pp.

–2145, 2011.

M. Tang, H. Jia, B. Ran, et al., “Analysis of the pedestrian arching at bottleneck based on a bypassing

behaviour model,” Physica A, vol. 453, pp. 242–258, 2016.

S. Seer, N. Brändle and C. Ratti, “Kinects and human kinetics: A new approach for studying pedestrian

behaviour,” Transportation Research Part C, vol. 48, pp. 212-228, 2014.

X. Jia, H. Yue, X. Tian, et al., “Simulation of pedestrian flow with evading and surpassing behaviour

in a walking passageway,” Simulation, vol. 93, pp. 1013–1035, 2017.

M. Moussaïd, D. Helbing, S. Garnier, et al., “Experimental study of the behavioural mechanisms

underlying self-organization in human crowds,” Proceedings of the Royal Society Biological Sciences,

vol. 276, no.1668, pp. 2755-2762, 2009.

W. Lv, W. Song, J. Ma, et al., “A two-dimensional optimal velocity model for unidirectional pedestrian

flow based on pedestrian's visual hindrance field,” IEEE Transactions on Intelligent Transportation

Systems, vol. 14, no. 4, pp. 1753-1763, 2013.

M. Boltes and A.Seyfried, “Collecting pedestrian trajectories,” Neurocomputing, vol. 100, pp. 127-

, 2013.

U. Weidmann, “Transporttechnik der fussgänger,” ETH Zürich, vol. 90, 1992.

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Published

27.03.2020

How to Cite

Jia, X., Feliciani, C., Yanagisawa, D., & Nishinari, K. (2020). Experimental study on the evading behaviour of single pedestrians encountering an obstacle. Collective Dynamics, 5, 77–84. https://doi.org/10.17815/CD.2020.36

Issue

Vol. 5 (2020)

Section

Proceedings of Pedestrian and Evacuation Dynamics 2018

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Copyright (c) 2020 Xiaolu Jia, Claudio Feliciani, Daichi Yanagisawa, Katsuhiro Nishinari

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