Deployment of a Snowplow Driver-Assist System

Details

• Creators:
  Davis, Brian ; Schwieters, Katelyn ; Morris, Nichole L. ; Donath, Max
• Corporate Creators:
  University of Minnesota. Department of Mechanical Engineering ; Minnesota. Department of Transportation. Local Road Research Board
• Corporate Contributors:
  Minnesota. Department of Transportation. Office of Research & Innovation
• Subject/TRT Terms:
  • Advanced driver information systems
  • Lane lines
  • Snowplows
  • Visibility
  • Winter maintenance
  • Satellite navigation systems
  • Lane keeping
• Publication/ Report Number:
  MN 2023-27
• Resource Type:
  Tech Report
• Geographical Coverage:
  Minnesota ; United States
• Edition:
  Final Report
• Corporate Publisher:
  Minnesota. Department of Transportation. Office of Research & Innovation
• Description:
  Snowplow operators are often tasked with clearing snow from roadways under challenging conditions. One such situation is low visibility due to falling or blowing snow that makes it difficult to navigate, stay centered in the lane, and identify upcoming hazards. To support snowplow operators working in these conditions, University of Minnesota researchers developed a snowplow driver-assist system that provides the operator with visual and auditory information that is suitable for low-visibility situations. A lane-guidance system uses high-accuracy Global Navigation Satellite System (GNSS) and maps of the roadway to provide information to drivers about their lateral positions. A forward-obstacle-detection system uses forward-facing radar to detect potential hazards in the roadway. The design of the system, and in particular its interface, is guided by extensive user testing to ensure the system is easy to understand, easy to use, and well liked among its users.
• Format:
  PDF
• Funding:
  (c) 1034033
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/72977/dot_72977_DS1.pdf
• File Type:
  [PDF - 7.98 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha256:487527eb7679bc0f841d8326bec04607e9e13f49d9acb211632b4a8bb43f45de