Using Artificial Intelligence-Based Computer Vision for Traffic Monitoring

The proposed research project would employ Artificial Intelligence (AI)-based Computer Vision to collect traffic data including vehicle count (traffic volume), Federal Highway Administration (FHWA) vehicle classification, and turning movements. Using video footage taken by existing roadside cameras (such as the Ohio Department of Transportation (ODOT)'s Milestone cameras) or other temporary cameras to collect traffic data allows for a safer and less expensive option compared with other methods. Computer Vision is an important AI application and using it to automatically collect traffic data will save significant amount of time and cost. This project epitomizes innovation as it will use cutting edge technologies to perform practical tasks while improving ODOT workers' and driving public's safety, reducing cost, and enhancing operational efficiency. A previous project conducted by the University of Toledo for ODOT Office of Technical Services developed a prototype tool that used AI-Computer Vision to collect vehicle count and classification data from recorded roadway videos. This research would investigate ways to more efficiently access videos from Milestone cameras and improve the previous work by developing a web-based traffic monitoring application, so that it can be used for routine traffic flow data collection. The outcome of this research will provide ODOT a safe, efficient, accurate, and economical alternative for collecting traffic data. The overall goal of the project is to develop a safer method to collect accurate traffic data, while reducing costs and increasing operational efficiency.

• Record URL:
  • https://www.dot.state.oh.us/Divisions/Planning/SPR/Research/reportsandplans/Lists/Final%20Reports%20All/AllItems.aspx?useFiltersInViewXml=1&FilterField1=Categories&FilterValue1=Technology%20Transfer&FilterType1=MultiChoice&FilterField2=Research%5Fx0020%5FOrganization&FilterValue2=University%20of%20Toledo&FilterType2=Choice

Language

• English

Project

• Status: Active
• Funding: $150,000.00
• Contract Numbers:

  44204

  130569

  126464

• Sponsor Organizations:

  Federal Highway Administration

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

  Ohio Department of Transportation

  Research Program
  1980 West Broad Street
  Columbus, OH  United States  43223
• Project Managers:

  Spriggs, Jennifer

• Performing Organizations:

  University of Toledo

  Department of Civil Engineering
  2801 West Bancroft Street
  Toledo, OH  United States  43606
• Principal Investigators:

  Chou, Eddie

• Start Date: 20260810
• Expected Completion Date: 20280210
• Actual Completion Date: 0

Subject/Index Terms

• TRT Terms: Artificial intelligence; Computer vision; Data collection; Traffic counts; Traffic data; Vehicle classification
• Identifier Terms: Ohio Department of Transportation
• Geographic Terms: Ohio
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management;

Filing Info

• Accession Number: 01997223
• Record Type: Research project
• Source Agency: Ohio Department of Transportation
• Contract Numbers: 44204, 130569, 126464
• Files: RIP, STATEDOT
• Created Date: Jul 27 2026 1:57PM