Monitoring of Urban Roadway Safety Hazards From Existing Bus-Based Video Imagery: Phase 3

Details

• Creators:
  Mishalani, Rabi G. ; McCord, Mark R. ; Baig, Harris
• Corporate Creators:
  Ohio State University. Center for Automotive Research ; 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:
  • Traffic safety
  • Hazards
  • Queuing
  • Transit buses
  • Imagery
  • Video cameras
  • Urban transit
  • Roads
  • Monitoring
  • Traffic crashes
  More +
• Publication/ Report Number:
  601
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States
• Edition:
  Final Report (July 1, 2025 - July 31, 2026)
• Corporate Publisher:
  Carnegie Mellon University. Traffic21 Institute. Safety21 University Transportation Center (UTC)
• Abstract:
  Roadway traffic safety engineers consider crash data to identify locations and times of high hazard risk. While these data and the resulting identifications are valuable, they do not allow for capturing other locations and times prone to hazards where crashes have not occurred yet. Therefore, capturing conditions associated with safety hazards is equally important in pointing safety engineers to roadway locations and times where safety mitigation measures could be taken before crashes occur. Contributors to traffic safety hazards include rapid decelerations and lane changes in the presence of queues and interactions of vulnerable and nonvulnerable vehicles. Traditional traffic data collection methods are constrained in time and space and therefore prone to biased sampling. Taking advantage of video imagery recorded by transit bus-mounted cameras for other purposes offers an opportunity to provide information that can reduce this bias. In this project available, repeated, and extensive imagery recorded by cameras mounted on transit buses operating in regular service is used to identify queues, the presence of high volumes of vulnerable vehicles, and the interactions of vulnerable and nonvulnerable vehicles that could lead to safety hazards. The campus of The Ohio State University roadway network is used as a living lab testbed. The results demonstrate the promise of identifying queuing and mixes of vehicle types over space and time. Further improvements and extensions are discussed.
• Format:
  PDF
• Funding:
  69A3552344811 ; 69A3552348316
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/93545/dot_93545_DS1.pdf
• File Type:
  [PDF - 1.53 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:9cfc58a3c7fc1b3e60dc3217651f985028e8477982b6d70d9ead5686bb65b86f241c1a57aaccd4cb7f6d14235c7b110ec0a67de32183886a4afb3482f6a23c09