Evaluating Different Methods for Estimating Queue Length on Access Ramps [Research Brief]

Details

• Creators:
  Markovic, Nikola ; Rashidi, Abbas ; Tiwari, Sushant
• Corporate Creators:
  University of Utah. Department of Civil and Environmental Engineering
• 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 ; Mountain-Plains Consortium
• Subject/TRT Terms:
  • Computer vision
  • Data collection
  • Ramp metering
  • Ramps
  • Traffic queuing
• Publication/ Report Number:
  MPC 23-507 (project 699)
• Resource Type:
  Brief
• Geographical Coverage:
  Utah ; United States
• Edition:
  Research Brief
• Corporate Publisher:
  Mountain-Plains Consortium
• Abstract:
  Researchers used surveillance camera videos from four locations along Interstate Highway 15 in Utah to develop and evaluate the framework for using object detection and tracking algorithms. Researchers developed the framework by combining object detection and tracking to extract data from the access ramps. The framework uses the videos as input to the framework and determines the highway on-ramp queueing parameters such as queue length and queuing time, which is important information for optimizing signal timing. Additionally, this study provides a detailed implementation plan for the use of computer vision, identifies the optimum locations for camera installations, and defines hardware requirements.
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/73021/dot_73021_DS1.pdf
• File Type:
  [PDF - 392.77 KB]
• Collection(s):
  Artificial Intelligence Deployment Center of Excellence (AI COE) ; University Transportation Centers
• Main Document Checksum:
  urn:sha-512:82cc335981b33e9ab53b361f124b7f60a12c7c7fb1467d2201c616e73491517bb1e9442f42a822892423bee0fddedb6eb6d2f0ccfa1bb3a4230b121b851ce77e