Pavement Markings To Support Automated Vehicles [Research Summary]

Details

• Creators:
  Peterson, Ethan ; Pike, Adam
• Corporate Creators:
  Texas A&M Transportation Institute ; Minnesota Local Road Research Board
• Corporate Contributors:
  Minnesota. Department of Transportation. Office of Research & Innovation
• Subject/TRT Terms:
  • Road markings
  • Driver support systems
  • Autonomous vehicles
  • Intelligent vehicles
  • Lane occupancy
  • Highway safety
  • Pavement markings
  • lane keeping
  • advanced driver assistance systems
  • ADAS
  More +
• Publication/ Report Number:
  2024-16
• Resource Type:
  Brief
• Geographical Coverage:
  Minnesota ; Texas ; United States
• Edition:
  Research Summary
• Corporate Publisher:
  Minnesota. Department of Transportation. Office of Research & Innovation
• Abstract:
  Pavement marking style and patterns have largely been designed based on human vision. MnDOT is completing a human factors study on pavement marking variations, A field study included data collected through various methods from test corridors in Minnesota and Texas during daytime and nighttime driving. A closed course at Texas A&M University allowed researchers to observe how marking width, quality and the ratio of broken line markings to gap length impacted automated driving functions. A vehicle equipped with a camera-based data acquisition system that measured relative tracking performance of different pavement markings was driven on a roadway with 10-foot-long skip markings at 30- or 40-foot gaps and 4- or 6-inch-wide markings.
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/77436/dot_77436_DS1.pdf
• File Type:
  [PDF - 209.06 KB]
• Collection(s):
  Autonomous Vehicles ; US Transportation Collection
• Main Document Checksum:
  urn:sha-512:4acadbef0941bd8735b535bbd022eb3c280cbd1df9978bbee2b30734d81300997a4c1b1c2855018b2f3e4d6d2e87ea023a3e566bfd69bd11a4a5637e76474cd7