Improved Signalized Intersection Performance using Computer Vision and Artificial Intelligence

The primary objectives of this research are to: (1) assess the feasibility and accuracy of using computer vision technology for performance evaluation at signalized intersections; (2) provide intersection video footage data captured by drones; (3) use computer vision and artificial intelligence to automatically convert data from video recordings at selected intersections into trajectories of road users; (4) using computer vision and artificial intelligence to count road users, and detect queuing and demand for each approach at selected intersections using drone footage; and (5) develop tools to facilitate Louisiana Department of Transportation (DOTD) traffic engineers in understanding road users' behaviors, evaluating intersection performance measures, and assisting in determining effective measures for improving safety and efficiency at intersections.

Language

• English

Project

• Status: Active
• Funding: $223751
• Contract Numbers:

  24-4SS

  1000515

• Sponsor Organizations:

  Federal Highway Administration

  1200 New Jersey Avenue, SE
  Washington, DC  United States  20590
• Managing Organizations:

  Louisiana Transportation Research Center

  4101 Gourrier Avenue
  Baton Rouge, LA  United States  70808

  Louisiana Department of Transportation

  P.O. Box 94245
  1201 Capitol Access Road
  Baton Rouge, LA  United States  70804-9245
• Project Managers:

  Codjoe, Julius

• Performing Organizations:

  Louisiana Transportation Research Center

  4101 Gourrier Avenue
  Baton Rouge, LA  United States  70808
• Principal Investigators:

  Moomen, Milhan

• Start Date: 20240101
• Expected Completion Date: 20251231
• Actual Completion Date: 0

Subject/Index Terms

• TRT Terms: Artificial intelligence; Computer vision; Drones; Performance measurement; Signalized intersections; Traffic surveillance; Video
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management;

Filing Info

• Accession Number: 01904328
• Record Type: Research project
• Source Agency: Louisiana Transportation Research Center
• Contract Numbers: 24-4SS, 1000515
• Files: RIP, STATEDOT
• Created Date: Jan 9 2024 10:28AM