Kalantari, AH orcid.org/0000-0001-5256-8069, Yang, Y, Garcia de Pedro, J orcid.org/0000-0001-6704-0507 et al. (6 more authors) (2023) Who goes first? A distributed simulator study of vehicle–pedestrian interaction. Accident Analysis & Prevention, 186. 107050. ISSN 0001-4575
Abstract
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.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2023 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
Keywords: | Zebra crossing, Autonomous Vehicles, Gap acceptance, Mixed-effects model, Traffic psychology |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Safety and Technology (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 18 Jul 2023 15:46 |
Last Modified: | 18 Jul 2023 15:46 |
Published Version: | http://dx.doi.org/10.1016/j.aap.2023.107050 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.aap.2023.107050 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:200917 |
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