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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

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
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
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.
DIVA
Eriksson, Alexander
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Eriksson, Alexander
75015c12-48a6-41ac-8fc4-15b1d71237f3
Kircher, Katja
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Västfjäll, Daniel
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Eriksson, Alexander (2014) 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, Masters Thesis, 37pp.

Record type: Thesis (Masters)

Abstract

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.

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Driver Behaviour in Highly Automated Driving.pdf - Other
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Published date: 9 June 2014
Organisations: Transportation Group

Identifiers

Local EPrints ID: 368565
URI: http://eprints.soton.ac.uk/id/eprint/368565
PURE UUID: 53c4312b-27c4-4875-9de9-35bea3c036a5
ORCID for Alexander Eriksson: ORCID iD orcid.org/0000-0003-1549-1327

Catalogue record

Date deposited: 24 Oct 2014 13:44
Last modified: 11 Dec 2021 05:01

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Contributors

Author: Alexander Eriksson ORCID iD
Thesis advisor: Katja Kircher
Thesis advisor: Daniel Västfjäll

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