Investigation of driving safety in partial driving automation considering driving modes and drivers’ pre-drive states

Zhang, W., Carsten, O. orcid.org/0000-0003-0285-8046, Lee, Y.T. orcid.org/0000-0002-0363-7352 et al. (2 more authors) (2026) Investigation of driving safety in partial driving automation considering driving modes and drivers’ pre-drive states. Accident Analysis & Prevention, 236. 108664. ISSN: 0001-4575

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Item Type: Article
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This is an author produced version of an article published in Accident Analysis & Prevention  made available via the University of Leeds Research Outputs Policy under the terms of the Creative Commons Attribution License (CC-BY), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.

Keywords: L2 driving system; Drowsiness; Hazard perception performance; L2 hands-on; L2 hands-off
Dates:
  • Accepted: 3 July 2026
  • Published (online): 13 July 2026
  • Published: October 2026
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)
Date Deposited: 17 Sep 2026 14:48
Last Modified: 17 Sep 2026 14:48
Status: Published
Publisher: Elsevier
Identification Number: 10.1016/j.aap.2026.108664
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