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Vehicle Driver Monitoring: sleepiness and cognitive load
Volvo Car Corporation, Sweden.ORCID iD: 0000-0003-3209-9095
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-7305-7169
VTI, Sweden.ORCID iD: 0000-0002-2061-5817
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2017 (English)Report (Other academic)
Abstract [en]

To prevent road crashes, it is important to understand driver related contributing factors. The overall aim of the Vehicle Driver Monitoring project was to advance the understanding of two such factors; sleepiness and cognitive distraction. The project aimed at finding methods to measure the two states, with focus on physiological measures, and to study their effect on driver behaviour. The data collection was done in several laboratory and driving simulator experiments. Much new knowledge and insights were gained in the project. Significant effects of cognitive load as well as of sleepiness were found in several physiological measures. The results also showed that context, including individual and environmental factors, has a great impact on driver behaviours, measures and driver experiences.

Place, publisher, year, edition, pages
Linköping, Sweden: VTI , 2017.
Series
VTI rapport
National Category
Vehicle Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-37031OAI: oai:DiVA.org:mdh-37031DiVA: diva2:1157857
Projects
VDM - Vehicle Driver Monitoring
Available from: 2017-11-16 Created: 2017-11-16 Last updated: 2017-11-16Bibliographically approved

Open Access in DiVA

No full text

Other links

http://vti.diva-portal.org/smash/get/diva2:1096341/FULLTEXT01.pdf

Authority records BETA

Barua, ShaibalBegum, ShahinaAhmed, Mobyen Uddin

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Nilsson, EmmaBarua, ShaibalFors, CarinaBegum, ShahinaAhmed, Mobyen UddinAnund, Anna
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