Final report on the portable computerized assessments of sleepy drivers in operational environments.

Details

• Creators:
  Rizzo, Matthew ; Tippin, Jon ; Aksan, Nazan
• Corporate Creators:
  University of Iowa Hospitals & Clinics. Dept. of Neurology
• Corporate Contributors:
  United States. Federal Highway Administration
• Subject/TRT Terms:
  • Traffic crashes
  • Human factors in crashes
  • Sleep deprivation
  • Accident prone drivers
  • Field tests
  • Attention
  • Memory
  • Fatigue (Physiological condition)
• Publication/ Report Number:
  SPR 90-00-SLDR-010
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Corporate Publisher:
  Iowa. Dept. of Transportation
• Abstract:
  Excessive daytime sleepiness underpins a large number of the reported motor vehicle crashes. Fair and accurate field ; measures are needed to identify at-risk drivers who have been identified as potentially driving in a sleep deprived state on ; the basis of erratic driving behavior. The purpose of this research study was to evaluate a set of cognitive tests that can ; assist Motor Vehicle Enforcement Officers on duty in identifying drivers who may be engaged in sleep impaired driving. ; Currently no gold standard test exists to judge sleepiness in the field. Previous research has shown that Psychomotor ; Vigilance Task (PVT) is sensitive to sleep deprivation. The first goal of the current study was to evaluate whether ; computerized tests of attention and memory, more brief than PVT, would be as sensitive to sleepiness effects. The second ; goal of the study was to evaluate whether objective and subjective indices of acute and cumulative sleepiness predicted ; cognitive performance. Findings showed that sleepiness effects were detected in three out of six tasks. Furthermore, PVT ; was the only task that showed a consistent slowing of both ‘best’, i.e. minimum, and ‘typical’ responses, median RT due to ; sleepiness. However, PVT failed to show significant associations with objective measures of sleep deprivation (number of ; hours awake). The findings indicate that sleepiness tests in the field have significant limitations. The findings clearly ; show that it will not be possible to set absolute performance thresholds to identify sleep-impaired drivers based on ; cognitive performance on any test. Cooperation with industry to adjust work and rest cycles, and incentives to comply ; with those regulations will be critical components of a broad policy to prevent sleepy truck drivers from getting on the ; road.
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• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/26131/dot_26131_DS1.pdf
• File Type:
  [PDF - 76.54 KB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:cf40c95ec3d960b1415534f9711ab99527fcc46c110ded6d29e9bd9239f772117f55ecda227d8da7e5b8f606d3c49718b99e627f18ed67e8ef4f38471e6ca743