Generating Traffic Information From Connected Vehicle V2V Basic Safety Messages

Details

• Creators:
  Levin, Michael W. ; Chen, Rongsheng ; Hourdos, John ; Duhn, Melissa
• Corporate Creators:
  University of Minnesota. Dept. of Civil, Environmental, and Geo-Engineering
• Corporate Contributors:
  Minnesota. Dept. of Transportation. Research Services & Library
• Subject/TRT Terms:
  • Algorithms
  • Connected vehicles
  • Highway safety
  • Kalman filtering
  • Microscopic traffic flow
  • Real time data processing
  • Traffic estimation
  • Traffic surveillance
  • Vehicle to vehicle communications
• Publication/ Report Number:
  MN 2021-08
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Edition:
  Final Report
• Corporate Publisher:
  Minnesota. Dept. of Transportation. Research Services & Library
• Abstract:
  Basic Safety Message (BSM) containing data about the vehicle's position, speed, and acceleration. Roadside receivers, RSUs, can capture BSM broadcasts and translate them into information about traffic conditions. If every vehicle is equipped with awareness, BSMs can be combined to calculate traffic flows, speeds, and densities. These three key parameters will be post-processed to obtain queue lengths and travel time estimates. The project team proposed a traffic state estimation algorithm using BSMs based on the Kalman filter technique. The algorithm's performance was tested with BSMs generated from several arterial in a microscopic simulation model and BSMs generated with radar data collected on freeway sections. Then the project team developed a traffic monitoring system to apply the algorithm to a large-scale network with different types of roads. In the system, computers could remotely access the online server to acquire BSMs and estimate traffic states in real-time.
• Format:
  PDF
• Funding:
  (C) 1003325 (WO) 65
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/56861/dot_56861_DS1.pdf
• File Type:
  [PDF - 55.37 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha256:2d6c23b5a0e0bfa9ee7660e449467c863126b5607b8670b71834a08fe7721a01