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.
The Institution for Computer and and Information Science, Linköping University
Eriksson, Alexander
75015c12-48a6-41ac-8fc4-15b1d71237f3
9 June 2014
Eriksson, Alexander
75015c12-48a6-41ac-8fc4-15b1d71237f3
Kircher, Katja
640ea051-ff2a-407d-8ef2-b9e9c7ed9361
Västfjäll, Daniel
eeae2f69-a242-4048-9c7e-84409d2b7b5e
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
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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
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Date deposited: 24 Oct 2014 13:44
Last modified: 14 Mar 2024 17:49
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Contributors
Author:
Alexander Eriksson
Thesis advisor:
Katja Kircher
Thesis advisor:
Daniel Västfjäll
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