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Driver Behaviour in Highly Automated Driving: An evaluation of the effects of traffic, time pressure, cognitive performance and driver attitudes on decision-making time using a web based testing platform
Linköping University, Department of Computer and Information Science. Linköping University, Faculty of Arts and Sciences.
2014 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Driverless cars are a hot topic in today’s industry where several vehicle manufacturers try to create a reliable system for automated driving. The advantages of highly automated vehicles are many, safer roads and a lower environmental impact are some of the arguments for this technology. However, the notion of highly automated cars give rise to a large number of human factor issues regarding the safety and reliability of the automated system as well as concern about the driver’s role in the system.

The purpose of this study was to explore the effects of systematic variations in traffic complexity and external time pressure on decision-making time in a simulated situation using a web-based testing platform. A secondary focus was to examine whether measures of cognitive performance and driver attitudes have an effect on decision-making time.

 The results show that systematic variations in both time pressure and traffic complexity have an effect on decision-making time. This indicates that drivers are able to adapt their decision-making to facilitate the requirements of a certain situation. The results also indicate that intelligence; speed of processing and driver attitudes has an effect on decision-making time. 

Place, publisher, year, edition, pages
2014. , 37 p.
Keyword [en]
Highly automated driving, decision making, driver attitudes, cognitive abilities, DBQ, driver behaviour questionnaire, information preferences, automation, automated driving
National Category
Human Computer Interaction
Identifiers
URN: urn:nbn:se:liu:diva-107119ISRN: LIU-IDA/KOGVET-A--14/001--SEDOI: 37OAI: oai:DiVA.org:liu-107119DiVA: diva2:721983
External cooperation
The Swedish National Road and Transport Research Institute (VTI)
Subject / course
Cognitive science programme
Supervisors
Examiners
Available from: 2014-06-09 Created: 2014-06-05 Last updated: 2014-08-18Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • de-DE
  • en-GB
  • en-US
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  • nn-NO
  • nn-NB
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Output format
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