Literature DB >> 29550612

Effect of different alcohol levels on take-over performance in conditionally automated driving.

Katharina Wiedemann1, Frederik Naujoks2, Johanna Wörle2, Ramona Kenntner-Mabiala2, Yvonne Kaussner2, Alexandra Neukum2.   

Abstract

Automated driving systems are getting pushed into the consumer market, with varying degrees of automation. Most often the driver's task will consist of being available as a fall-back level when the automation reaches its limits. These so-called take-over situations have attracted a great body of research, focusing on various human factors aspects (e.g., sleepiness) that could undermine the safety of control transitions between automated and manual driving. However, a major source of accidents in manual driving, alcohol consumption, has been a non-issue so far, although a false understanding of the driver's responsibility (i.e., being available as a fallback level) might promote driving under its influence. In this experiment, N = 36 drivers were exposed to different levels of blood alcohol concentrations (BACs: placebo vs. 0.05% vs. 0.08%) in a high fidelity driving simulator, and the effect on take-over time and quality was assessed. The results point out that a 0.08% BAC increases the time needed to re-engage in the driving task and impairs several aspects of longitudinal and lateral vehicle control, whereas 0.05% BAC did only go along with descriptive impairments in fewer parameters.
Copyright © 2018 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Blood alcohol; Controllability; Driver fitness; Driving simulation

Mesh:

Substances:

Year:  2018        PMID: 29550612     DOI: 10.1016/j.aap.2018.03.001

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  2 in total

1.  A Take-Over Performance Evaluation Model for Automated Vehicles from Automated to Manual Driving.

Authors:  Lixin Yan; Jiayu Chen; Chengyue Wen; Ping Wan; Liqun Peng; Xujin Yu
Journal:  Comput Intell Neurosci       Date:  2022-04-15

Review 2.  Driving under the influence of drugs: Correlation between blood psychoactive drug concentrations and cognitive impairment. A narrative review taking into account forensic issues.

Authors:  Alberto Blandino; Rosy Cotroneo; Stefano Tambuzzi; Domenico Di Candia; Umberto Genovese; Riccardo Zoja
Journal:  Forensic Sci Int Synerg       Date:  2022-03-21
  2 in total

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