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Who goes first? A distributed simulator study of vehicle–pedestrian interaction.

Authors :
Kalantari, Amir Hossein
Yang, Yue
Garcia de Pedro, Jorge
Lee, Yee Mun
Horrobin, Anthony
Solernou, Albert
Holmes, Christopher
Merat, Natasha
Markkula, Gustav
Source :
Accident Analysis & Prevention. Jun2023, Vol. 186, pN.PAG-N.PAG. 1p.
Publication Year :
2023

Abstract

• An experimental paradigm is introduced to study road user interaction. • The effects of right of way and time gap on interaction are studied extensively. • Pedestrians crossed first more often at higher time gaps and marked crossings. • Pedestrians' decisions were affected mostly by the approaching vehicle's kinematics. • Personality traits showed a limited effect on interaction at unmarked crossings. One of the current challenges of automation is to have highly automated vehicles (HAVs) that communicate effectively with pedestrians and react to changes in pedestrian behaviour, to promote more trustable HAVs. However, the details of how human drivers and pedestrians interact at unsignalised crossings remain poorly understood. We addressed some aspects of this challenge by replicating vehicle–pedestrian interactions in a safe and controlled virtual environment by connecting a high fidelity motion-based driving simulator to a CAVE-based pedestrian lab in which 64 participants (32 pairs of one driver and one pedestrian) interacted with each other under different scenarios. The controlled setting helped us study the causal role of kinematics and priority rules on interaction outcome and behaviour, something that is not possible in naturalistic studies. We also found that kinematic cues played a stronger role than psychological traits like sensation seeking and social value orientation in determining whether the pedestrian or driver passed first at unmarked crossings. One main contribution of this study is our experimental paradigm, which permitted repeated observation of crossing interactions by each driver-pedestrian participant pair, yielding behaviours which were qualitatively in line with observations from naturalistic studies. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00014575
Volume :
186
Database :
Academic Search Index
Journal :
Accident Analysis & Prevention
Publication Type :
Academic Journal
Accession number :
163165097
Full Text :
https://doi.org/10.1016/j.aap.2023.107050