Quantifying Drowsy Driving [Traffic Safety Facts Research Note]

Details

• Corporate Creators:
  United States. Department of Transportation. National Highway Traffic Safety Administration. Office of Behavioral Safety Research
• Subject/TRT Terms:
  • Drowsiness
  • Human factors in crashes
  • Driver performance
  • Driving
  • Transit safety
  • Sleep deprivation
• Publication/ Report Number:
  DOT HS 813 003
• Series:
  NHTSA BSR Traffic Safety Facts
• DOI:
  https://doi.org/10.21949/1525984
• Resource Type:
  Brief
• Geographical Coverage:
  United States
• Edition:
  Traffic Safety Facts Research Note
• Corporate Publisher:
  United States. National Highway Traffic Safety Administration. Office of Behavioral Safety Research
• Abstract:
  According to NHTSA’s National Center for Statistics and Analysis, drowsy driving was a contributing factor in 775 deaths in 2018, or 2.1% of total fatalities involving motor vehicle crashes on U.S. roadways. However, statistics, likely underestimate the extent of the drowsy driving problem. The American Automobile Association Foundation for Traffic Safety estimated the percentage of fatal crashes that involved a drowsy driver at 21%. This Research Note explores the feasibility of using machine learning algorithms to identify drowsy driving episodes in large-scale naturalistic driving datasets. The Strategic Highway Research Program 2 (SHRP2) Naturalistic Driving Study (NDS) collected data from more than 3,400 participating drivers in six States, yielding time series data for more than 5 million trips. The SHRP2 NDS database contains vehicle variables and video data, including a view of the driver’s face.
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/53435/dot_53435_DS1.pdf
• File Type:
  [PDF - 231.96 KB]
• Collection(s):
  NHTSA - Behavioral Safety Research
• Main Document Checksum:
  urn:sha256:459414bee9e5952a9cc58c51e6fcf4d06689e8d59020d4ea845d35e34955f614