Interpreting pedestrians' head movements when encountering automated vehicles at a virtual crossroad

Yang, Y. orcid.org/0000-0001-5876-6576, Lee, Y.M. orcid.org/0000-0003-3601-4191, Madigan, R. orcid.org/0000-0002-9737-8012 et al. (2 more authors) (2024) Interpreting pedestrians' head movements when encountering automated vehicles at a virtual crossroad. Transportation Research Part F: Traffic Psychology and Behaviour, 103. pp. 340-352. ISSN 1369-8478

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Item Type: Article
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© 2024 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

Keywords: Automated Vehicle; Head-turning behaviour; Zebra Crossing; eHMI; Vulnerable Road Users; Virtual Reality; CAVE-based pedestrian simulator
Dates:
  • Published: May 2024
  • Published (online): 30 April 2024
  • Accepted: 24 April 2024
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)
The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 31 May 2024 10:12
Last Modified: 31 May 2024 10:12
Published Version: https://www.sciencedirect.com/science/article/pii/...
Status: Published
Publisher: Elsevier
Identification Number: 10.1016/j.trf.2024.04.022
Open Archives Initiative ID (OAI ID):

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