RES2023-17: Development of an Intelligent Traffic Monitoring System Based on Artificial Intelligence

Tennessee Department of Transportation (TDOT) provides essential services to support transportation operations on Tennessee highways. Among these services is the critical incident management service, one of the Transportation Management and Operations (TSM&O) strategies that significantly impact traffic flow in Tennessee. Coordinated action between all four regions managed through the various TDOT Traffic Management Centers requires better insights and analysis of the performance and operational awareness of the interstate highways and the surrounding roadways. The major challenge with the lack of information and real-time insights is the delayed detection of incidents and the inability to manage the response successfully and on time. The question that faces the team and TDOT is the following: can we use advanced sensor fusion techniques to obtain reliable insights from a collection of heterogenous sensors and achieve similar insights that may be gathered through expensive but high-resolution camera arrays?

• Record URL:
  https://www.tn.gov/content/dam/tn/tdot/long-range-planning/research/researchsummary/res2023/RES2023-17_One_Pager.pdf

Language

• English

Project

• Status: Active
• Funding: $208268
• Contract Numbers:

  RES2023-17

• Sponsor Organizations:

  Tennessee Department of Transportation

  James K. Polk Building
  Fifth and Deaderick Street
  Nashville, TN  United States  37243-0349
• Managing Organizations:

  Tennessee Department of Transportation

  James K. Polk Building
  Fifth and Deaderick Street
  Nashville, TN  United States  37243-0349
• Performing Organizations:

  Vanderbilt Center for Transportation Research (VECTOR)

  Box 1831, Station B
  Vanderbilt University
  Nashville, TN  United States  37235
• Principal Investigators:

  Dubey, Abhishek

• Start Date: 20220801
• Expected Completion Date: 20240731
• Actual Completion Date: 0
• USDOT Program: Transportation, Planning, Research, and Development

Subject/Index Terms

• TRT Terms: Artificial intelligence; Incident detection; Intelligent transportation systems; Sensors; Traffic surveillance
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management;

Filing Info

• Accession Number: 01854606
• Record Type: Research project
• Source Agency: Tennessee Department of Transportation
• Contract Numbers: RES2023-17
• Files: RIP, STATEDOT
• Created Date: Aug 12 2022 3:09PM