Physiological indicators of driver workload during car-following scenarios and takeovers in highly automated driving

Radhakrishnan, V, Merat, N orcid.org/0000-0003-4140-9948, Louw, T orcid.org/0000-0001-6577-6369 et al. (5 more authors) (2022) Physiological indicators of driver workload during car-following scenarios and takeovers in highly automated driving. Transportation Research Part F: Traffic Psychology and Behaviour, 87. pp. 149-163. ISSN 1369-8478

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2022 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: Workload; Car-following; Psychophysiology; Heart-rate variability (HRV); Electrodermal activity (EDA); Highly automated driving (HAD)
Dates:
  • Accepted: 7 April 2022
  • Published (online): 18 April 2022
  • Published: May 2022
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)
Funding Information:
FunderGrant number
Innovate UK fka Technology Strategy Board (TSB)84063-528134
Depositing User: Symplectic Publications
Date Deposited: 28 Jun 2022 16:42
Last Modified: 28 Jun 2022 16:42
Status: Published
Publisher: Elsevier BV
Identification Number: https://doi.org/10.1016/j.trf.2022.04.002

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