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Road Vehicle Automation and Its Effects on Fatigue, Sleep, Rest, and Recuperation
Swedish National Road and Transport Research Institute, Traffic and road users, The Human in the Transport system..ORCID iD: 0000-0003-4134-0303
Würzburg Institute for Traffic Sciences (WIVW), Germany.
Volvo Cars Safety Centre, PV22, Sweden.ORCID iD: 0000-0002-9015-1624
Fraunhofer IOSB, Germany.
2023 (English)In: The Handbook of Fatigue Management in Transportation: Waking Up to the Challenge / [ed] Christina M. Rudin-Brown and Ashleigh J. Filtness, Boca Raton: CRC Press, 2023, 1Chapter in book (Other academic)
Abstract [en]

Assisted and automated driving brings new challenges and opportunities when it comes to driver fatigue. With lower levels of vehicle automation, driver monotony and boredom in combination with demanding attentive monitoring leads to higher levels of fatigue, especially during the night when the sleep pressure is high. With higher levels of vehicle automation, when the driver is not required to continuously monitor the roadway and the automation system, task-related fatigue can be counteracted by engaging in non-driving-related activities. Finally, with the highest levels of vehicle automation, it may even become possible for drivers to sleep while on the move. Aside from making it possible for private car drivers to take strategic naps during a drive, this also opens up the possibility for more flexible, risk management-based, hour of service regulations for professional drivers. This chapter summarises the current state of the art on how assisted and piloted driving affects driver fatigue and how automation may facilitate recovery and recuperation from fatigue while on the move. It also covers how automated functions will impact driver monitoring systems and how new ways of counteracting driver fatigue may arise when automation is available.

Place, publisher, year, edition, pages
Boca Raton: CRC Press, 2023, 1.
National Category
Vehicle Engineering Applied Psychology
Identifiers
URN: urn:nbn:se:vti:diva-19832DOI: 10.1201/9781003213154Scopus ID: 2-s2.0-85167685751ISBN: 9781003213154 (electronic)OAI: oai:DiVA.org:vti-19832DiVA, id: diva2:1788133
Available from: 2023-08-15 Created: 2023-08-15 Last updated: 2023-08-29Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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  • de-DE
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  • asciidoc
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