Evaluating Driver Drowsiness Countermeasures

Details

• Creators:
  Gaspar, John G ; Brown, Timothy L. ; Schwarz, Chris W ; Lee, John D. ; Kang, Julie ; Higgins, James S.
• Corporate Creators:
  University of Iowa. National Advanced Driving Simulator ; University of Wisconsin--Madison ; United States. Department of Transportation. National Highway Traffic Safety Administration
• Subject/TRT Terms:
  • Behavior
  • Driver performance
  • Driver support systems
  • Drowsiness
  • Fatigue (Physiological condition)
  • Intelligent vehicles
  • Lane occupancy
  • Steering
  • Warning systems
• DOI:
  http://dx.doi.org/10.1080/15389588.2017.1303140
• Resource Type:
  Journal Article
• Right Statement:
  Open Access
• Geographical Coverage:
  United States
• Corporate Publisher:
  Taylor & Francis
• Abstract:
  This article describes recent NHTSA research on in-vehicle drowsiness countermeasures. Recent advances in technology and state detection algorithms have shown success in detecting drowsiness using a variety of data sources, including camera-based eye tracking, steering wheel position, yawrate, and vehicle lane position.
• Content Notes:
  This is an open access article under the terms of the Creative Commons Attribution-Noncommercial-No Derivatives License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. ; To cite this article: John G. Gaspar, Timothy L. Brown, Chris W. Schwarz, John D. Lee, Julie Kang & James S. Higgins (2017) Evaluating driver drowsiness countermeasures, Traffic Injury Prevention, 18:sup1, S58-S63, DOI: 10.1080/15389588.2017.1303140
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/62932/dot_62932_DS1.pdf
• File Type:
  [PDF - 701.34 KB]
• Collection(s):
  NHTSA - Vehicle Safety Research
• Main Document Checksum:
  urn:sha-512:6a63bc0cfa9fba53d0a206f0543a3db7d2f476788b09688a7ea589a12e9a6719916a2e2a4aa828fc07d03e6f4444f0f4bc5c95e1d1ecd19b6f77dfb887574d63