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Tytuł:
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Who goes first? A distributed simulator study of vehicle-pedestrian interaction.
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Autorzy:
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Kalantari AH; Institute for Transport Studies, University of Leeds, Leeds LS2 9JT, UK. Electronic address: .
Yang Y; Institute for Transport Studies, University of Leeds, Leeds LS2 9JT, UK.
Garcia de Pedro J; Institute for Transport Studies, University of Leeds, Leeds LS2 9JT, UK.
Lee YM; Institute for Transport Studies, University of Leeds, Leeds LS2 9JT, UK.
Horrobin A; Institute for Transport Studies, University of Leeds, Leeds LS2 9JT, UK.
Solernou A; Institute for Transport Studies, University of Leeds, Leeds LS2 9JT, UK.
Holmes C; Institute for Transport Studies, University of Leeds, Leeds LS2 9JT, UK; Nissan Technical Centre Europe, Cranfield, Bedfordshire MK43 0DB, UK.
Merat N; Institute for Transport Studies, University of Leeds, Leeds LS2 9JT, UK.
Markkula G; Institute for Transport Studies, University of Leeds, Leeds LS2 9JT, UK.
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Źródło:
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Accident; analysis and prevention [Accid Anal Prev] 2023 Jun; Vol. 186, pp. 107050. Date of Electronic Publication: 2023 Apr 04.
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Typ publikacji:
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Journal Article
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Język:
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English
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Imprint Name(s):
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Publication: Oxford : Pergamon Press
Original Publication: [New York, Pergamon Press]
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MeSH Terms:
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Pedestrians*/psychology
Automobile Driving*/psychology
Humans ; Accidents, Traffic/prevention & control ; Safety ; Motion ; Walking
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Contributed Indexing:
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Keywords: Autonomous Vehicles; Gap acceptance; Mixed-effects model; Traffic psychology; Zebra crossing
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Entry Date(s):
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Date Created: 20230406 Date Completed: 20230424 Latest Revision: 20230424
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Update Code:
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20240105
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DOI:
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10.1016/j.aap.2023.107050
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PMID:
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37023651
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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.
Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.)
