AI Enabled Vision System for Intersection Analytics

This project would develop an artificial intelligence (AI) vision system that will: (1) identify, categorize, and quantify vehicles, pedestrians, and cyclists at intersections, (2) perform constant movement counts, (3) detect wrong way driving and notify the TMC in near real-time, and (4) recognize red-light running violations through Signal Phase and Timing (SPaT) integration. With this information, data can be visualized and used to produce signal optimizations and seasonal timing treatments.

Language

• English

Project

• Status: Active
• Funding: $88,865.00
• Contract Numbers:

  TR202506

• Sponsor Organizations:

  Missouri Department of Transportation

  1617 Missouri Boulevard
  P.O. Box 270
  Jefferson City, MO  United States  65102
• Project Managers:

  Schulte, Brent

• Performing Organizations:

  Missouri Center for Transportation Innovation

  Lafferre Hall
  416 S 6th St.
  Columbia, Missouri  United States  65201
• Principal Investigators:

  Adu-Gyamfi, Yaw

• Start Date: 20240901
• Expected Completion Date: 20251001
• Actual Completion Date: 0

Subject/Index Terms

• TRT Terms: Artificial intelligence; Detection and identification systems; Intersections; Machine vision; Red light running; Traffic signal timing; Wrong way driving
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Pedestrians and Bicyclists; Safety and Human Factors;

Filing Info

• Accession Number: 01953937
• Record Type: Research project
• Source Agency: Missouri Department of Transportation
• Contract Numbers: TR202506
• Files: RIP, STATEDOT
• Created Date: Apr 30 2025 8:57AM