Certification of Connected and Automated Vehicles for Vulnerable Road Users

Details

• Creators:
  Li, Miao ; Lin, Haohong ; Zhao, Ding
• Corporate Creators:
  Carnegie Mellon University. Traffic21 Institute. Safety21 University Transportation Center (UTC)
• Corporate Contributors:
  United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology ; United States. Department of Transportation. Federal Highway Administration
• Subject/TRT Terms:
  • Artificial intelligence
  • Autonomous vehicles
  • Certification
  • Connected vehicles
  • Risk assessment
  • Robots
  • Traffic safety
  • Vehicle safety
  • Vulnerable road users
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Edition:
  Final Report (July 1, 2024 – June 30, 2025)
• Corporate Publisher:
  Carnegie Mellon University. Traffic21 Institute. Safety21 University Transportation Center (UTC)
• Abstract:
  This project aims to build a platform that can generate and deploy realistic critical traffic scenarios involving VRUs for physical testing. We seek to address this requirement in two stages. The first stage explores the design of an automatic toolkit, which automatically reconstructs critical scenarios from real-world traffic accidents. The second stage explores the design of the physical evaluation platform—designing and deploying robots that faithfully replay those scenarios.
• Format:
  PDF
• Funding:
  69A3552344811, 69A3552348316
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/85734/dot_85734_DS1.pdf
• File Type:
  [PDF - 492.95 KB]
• Collection(s):
  University Transportation Centers
• Main Document Checksum:
  urn:sha-512:2a7808679a158a248082858f4849f3016db1e0bdb17921d848a9037cc0a3c825aa24c2dba3cb991307020bf84af1c237575069cb14e61e44583c34c7c04b7aef