Open AccessInvestigating pedestrians’ obstacle avoidance behaviour
Author(s) -
Abdullah Alhawsawi,
Majid Sarvi,
Milad Haghani,
Abbas Rajabifard
Publication year - 2020
Publication title -
collective dynamics
Language(s) - English
Resource type - Journals
ISSN - 2366-8539
DOI - 10.17815/cd.2020.77
Subject(s) - pedestrian , obstacle , obstacle avoidance , computer science , collision avoidance , simulation , psychology , artificial intelligence , engineering , transport engineering , computer security , geography , collision , archaeology , robot , mobile robot
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.