Investigating pedestrians’ obstacle avoidance behaviour

Authors

  • Abdullah Alhawsawi Transport Engineering Group, School of Engineering, Department of Infrastructure Engineering, The University of Melbourne, Victoria, Australia and Hajj and Umrah Institute, Umm Al-Quran University, Makkah, Saudi Arabia
  • Majid Sarvi Transport Engineering Group, School of Engineering, Department of Infrastructure Engineering, The University of Melbourne, Victoria, Australia
  • Milad Haghani Transport Engineering Group, School of Engineering, Department of Infrastructure Engineering, The University of Melbourne, Victoria, Australia
  • Abbas Rajabifard Transport Engineering Group, School of Engineering, Department of Infrastructure Engineering, The University of Melbourne, Victoria, Australia

DOI:

https://doi.org/10.17815/CD.2020.77

Keywords:

evacuation, modelling, simulation, crowd dynamic, motion, obstacle avoidance

Abstract

Modelling and simulating pedestrian motions are standard ways to investigate crowd dynamics aimed to enhance pedestrians’ safety. Movement of people is affected by interactions with one another and with the physical environment that it may be a worthy line of research. This paper studies the impact of speed on how pedestrians respond to the obstacles (i.e. Obstacles avoidance behaviour). A field experiment was performed in which a group of people were instructed to perform some obstacles avoidance tasks at two levels of normal and high speeds. Trajectories of the participants are extracted from the video recordings for the subsequent intentions:(i) to seek out the impact of total speed, x and yaxis (ii) to observe the impact of the speed on the movement direction, x-axis, (iii) to find out the impact of speed on the lateral direction, y-axis. The results of the experiments could be used to enhance the current pedestrian simulation models.

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Published

27.03.2020

How to Cite

Alhawsawi, A., Sarvi, M., Haghani, M., & Rajabifard, A. (2020). Investigating pedestrians’ obstacle avoidance behaviour. Collective Dynamics, 5, 413–422. https://doi.org/10.17815/CD.2020.77

Issue

Section

Proceedings of Pedestrian and Evacuation Dynamics 2018