Evaluation of Feasibility of Deployment of Runaway Truck Detection and Warning Systems at Truck Escape Ramps

Details

• Creators:
  McCarthy, Gillian ; Kononov, Jake ; Kirby, Evan
• Corporate Creators:
  DiExSys, LLC
• Corporate Contributors:
  Colorado. Department of Transportation. Applied Research & Innovations Branch ; United States. Department of Transportation. Federal Highway Administration
• Subject/TRT Terms:
  • Escape lanes
  • Trucks
  • Ramps
  • Warning systems
  • Evaluation
  • Feasibility analysis
  • Detection and identification
  • Deployment
  • Crashes
  • Before and after studies
  More +
• Publication/ Report Number:
  CDOT-2025-03
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States ; Colorado
• Edition:
  Final Report
• Corporate Publisher:
  Colorado. Dept. of Transportation. Applied Research and Innovation Branch
• Abstract:
  Despite the presence of properly signed and well-located runaway truck ramps, crashes involving trucks with overheated or otherwise failed brakes continue to occur downhill from the ramp locations. A recently deployed experimental truck warning system on Wolf Creek Pass on westbound SH160 shows some promise of effective crash reduction. The intent of this research project is to conduct observational before and after study at Wolf Creek truck escape ramps and evaluate feasibility of deployment of this system at all truck escape ramps in Colorado. ; Implementation: A methodology to evaluate safety performance by direction using Colorado-specific crash prediction models for the mountainous environment has been developed. The effectiveness of a detection and warning system for runaway trucks can be quantified. The findings of this research have the potential to reduce runaway truck crashes in the mountainous environment in Colorado and elsewhere.
• Format:
  PDF
• Funding:
  R323.01
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/89057/dot_89057_DS1.pdf
• File Type:
  [PDF - 23.07 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:03a4083f1ab72f980cf55b4c251734503deda8c0787799ac4694d1cb5997fc221ff8aaeaa81480163fa3248849ebc55e47e9e76aa5465856ca50530a63f17a04