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Distraction and drowsiness - a field study: technical report
Swedish National Road and Transport Research Institute, Traffic and road users, Human-vehicle-transport system interaction.ORCID iD: 0000-0002-1849-9722
Swedish National Road and Transport Research Institute, Traffic and road users, Vehicle technology and simulation.
Saab Automobile.
2009 (English)Report (Other academic)
Abstract [en]

The main goal of the distraction and drowsiness field study was to evaluate a system for detecting driver distraction and drowsiness. This report focuses on the system implementation and the algorithms detecting distraction and drowsiness. A vehicle was instrumented with video cameras, an automatic eye tracker and GPS receivers. Further data were read from the CAN bus of the car. The data were logged continuously with high frequency. The log system operated autonomously. Seven participants drove the vehicle during one month each. During the first ten days a behavioural baseline was collected. Afterwards the warnings were activated, such that the drivers received distraction warnings in form of a vibration in the seat when the algorithm determined that they had looked away from the forward roadway too much. A separate algorithm judged whether the drivers were drowsy or not. Questionnaires were administered on three occasions during the course of the study. No major problems were encountered during the field operational test (FOT), but a number of smaller problems had to be solved. However, in the end of the data collection period the computer installed in the car became more and more unstable, which led to increased data loss.

Place, publisher, year, edition, pages
Linköping: Statens väg- och transportforskningsinstitut, 2009. , p. 118
Series
VTI rapport, ISSN 0347-6030
Keywords [en]
Driver, Distraction, Drowsiness, Fatigue, Detection, Test, In situ, Test method, Driving, Eye movement, Algorithm, Warning, Recording, Data acquisition, Questionnaire
National Category
Other Health Sciences
Research subject
Road: Traffic safety and accidents, Road: Road user behaviour
Identifiers
URN: urn:nbn:se:vti:diva-6494OAI: oai:DiVA.org:vti-6494DiVA, id: diva2:675373
Available from: 2013-12-03 Created: 2013-12-03 Last updated: 2020-01-23Bibliographically approved

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fulltext(2092 kB)1289 downloads
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Type fulltextMimetype application/pdf

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Kircher, KatjaKircher, Albert

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf