Effect of different alcohol levels on take-over performance in conditionally automated driving. (June 2018)
- Record Type:
- Journal Article
- Title:
- Effect of different alcohol levels on take-over performance in conditionally automated driving. (June 2018)
- Main Title:
- Effect of different alcohol levels on take-over performance in conditionally automated driving
- Authors:
- Wiedemann, Katharina
Naujoks, Frederik
Wörle, Johanna
Kenntner-Mabiala, Ramona
Kaussner, Yvonne
Neukum, Alexandra - Abstract:
- Highlights: Comparisons of placebo, 0.05% and 0.08% BAC in a high-fidelitydriving simulator. Drivers were distracted from the driving environment by a simple NDRT. 0.08% BAC significantly worsened take-over time and vehicle control. 0.05% BAC did only go along with descriptive impairments in fewer parameters. Future research should further address more complex NDRTs. 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 vehicleHighlights: Comparisons of placebo, 0.05% and 0.08% BAC in a high-fidelitydriving simulator. Drivers were distracted from the driving environment by a simple NDRT. 0.08% BAC significantly worsened take-over time and vehicle control. 0.05% BAC did only go along with descriptive impairments in fewer parameters. Future research should further address more complex NDRTs. 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. … (more)
- Is Part Of:
- Accident analysis and prevention. Volume 115(2018)
- Journal:
- Accident analysis and prevention
- Issue:
- Volume 115(2018)
- Issue Display:
- Volume 115, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 115
- Issue:
- 2018
- Issue Sort Value:
- 2018-0115-2018-0000
- Page Start:
- 89
- Page End:
- 97
- Publication Date:
- 2018-06
- Subjects:
- Blood alcohol -- Controllability -- Driver fitness -- Driving simulation
Accidents -- Prevention -- Periodicals
Accident Prevention -- Periodicals
Accidents -- Prévention -- Périodiques
363.106 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00014575 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.aap.2018.03.001 ↗
- Languages:
- English
- ISSNs:
- 0001-4575
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 0573.130000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 11321.xml