Change search
ReferencesLink to record
Permanent link

Direct link
Vehicle control and drowsiness
Swedish National Road and Transport Research Institute.
Virtual Technology.
Virtual Technology.
2002 (English)Report (Other academic)
Abstract [en]

The report consists of two parts. The first part is a literature study aimed at identifying the most relevant indicators for predicting and detecting fatigue induced impaired driving. The aim was to identify possible performance based technologies, such as the lateral control of the car. Thus, less attention was devoted to e.g. psycho-physiological measures like EEG. A large number of research reports describing various approaches have been reviewed. The survey clearly indicates that no single indicator can be used to detect drowsy driving.A combination of different measures is recommended e.g. analysis of lateral control performance and eye blink pattern. Furthermore, it should be noted that so far there is no commercial system available that provides a sufficiently reliable method to detect a drowsy driver. In the second part, experimental data from previous driving simulator experiments were analysed by means of signal processing and statistical analyses. Specific attention was paid to investigate the potential of lateral vehicle position data as a mean to estimate driver drowsiness. The analysis of experimental data did not reveal any clear answer to what indicators are the most prominent with respect to detect drowsy driving behaviour. Further investigations and analyses of driving behaviour data are needed. However, the data analysis conforms in large to the findings in the literature survey.

Place, publisher, year, edition, pages
Linköping: Statens väg- och transportforskningsinstitut, 2002.
VTI meddelande, ISSN 0347-6049 ; 922A
Keyword [en]
Fatigue, Driving, Detection, Warning, Measurement, Lateral, Surveillance, Simulator, Signal, Brain, Data processing
National Category
Vehicle Engineering
Research subject
80 Road: Traffic safety and accidents, 841 Road: Road user behaviour
URN: urn:nbn:se:vti:diva-4880OAI: diva2:673709
Available from: 2013-12-03 Created: 2013-12-03 Last updated: 2015-09-22Bibliographically approved

Open Access in DiVA

fulltext(2427 kB)9876 downloads
File information
File name FULLTEXT01.pdfFile size 2427 kBChecksum SHA-512
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Kircher, Albert
By organisation
Swedish National Road and Transport Research Institute
Vehicle Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 9876 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 163 hits
ReferencesLink to record
Permanent link

Direct link