Human factors of vehicle-based lane departure warning systems : final report.

Details

• Creators:
  Edwards, Christopher J. ; Cooper, Jennifer L. ; Ton, Alice
• Corporate Creators:
  University of Minnesota. Department of Mechanical Engineering. HumanFIRST Program
• Corporate Contributors:
  Minnesota Local Road Research Board ; Minnesota. Dept. of Transportation. Research Services & Library
• Subject/TRT Terms:
  • Ran off road accidents
  • Two lane highways
  • Warning systems
  • Reliability
  • Trust (Psychology)
  • Workload
• Publication/ Report Number:
  MN/RC 2015-35
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States ; Minnesota
• Edition:
  Final report
• Corporate Publisher:
  Minnesota. Dept. of Transportation. Research Services & Library
• Abstract:
  Run-off-road (ROR) crashes are a concern for two-lane rural and urban roadways throughout Minnesota due to the ; frequency by which they contribute to fatal crashes (Minnesota Crash Facts, 2013). Mitigating the severity of the ; ROR events is an on-going research goal in order to help reduce the number of ROR crashes. Examining ; countermeasures that may reduce ROR crashes is important to determine the most efficient and effective method of ; warning. ; Behavioral responses were examined through the use of an in-vehicle haptic-based lane departure warning system ; (LDWS) using a driving simulator. The study incorporated systematic variation to both the reliability of the ; warning and sequence of treatment conditions. An additional analysis examined the presence of behavioral ; adaptation after repeated exposure to the system. Severity of a ROR event was measured as the total time out of ; lane (TTL) and maximum lane deviation (MLD). Covariates (e.g. road shape) were examined to determine the ; influence they may have on the severity of a ROR. ; The results reveal overall LDWS efficacy. TTL was significantly longer when no system was active compared to ; when it was active. LDWS led to shorter duration of ROR events. Greater velocity was found to be highly ; predictive of longer TTL. MLD was also greater for baseline drives compared to treatment drives. No behavioral ; adaptation or system overreliance was detected, suggesting long term benefits of the LDWS. Drivers who actively ; engaged in a distraction task were at far greater risk of traveling greater and more dangerous distances out of lane.
  More +
• Format:
  PDF
• Funding:
  CTS # 2013073 ; (c) 99008 (wo) 110
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/32170/dot_32170_DS1.pdf
• File Type:
  [PDF - 806.60 KB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha256:f0cb8e741c419ad3ef14926bbc9224056b9cfe034b3c72fe6cad4ed4583e249c