A Vision-based Traffic Monitoring System for Vehicle Detection and Vehicle Classification

The objective if this research study is to explore and develop a stand-alone vision-based traffic monitoring software prototype with graphic user interfaces that can count vehicles (detection) and characterize the type of vehicle on roadways (classification). A robust set of methodologies and algorithms for traffic monitoring will be identified to operate effectively under a variety of conditions. The system will be validated using video feeds collected by Connecticut Department of Transporation (CTDOT) with observed traffic characteristics and demonstrate the system for Connecticut application using a case study.


    • English


    • Status: Active
    • Funding: $50598.00
    • Contract Numbers:

      JH 15-01

    • Sponsor Organizations:

      Connecticut Department of Transportation

      2800 Berlin Turnpike
      Newington, CT  United States  06131
    • Project Managers:

      Kissane, Colleen

    • Performing Organizations:

      University of Connecticut, Storrs

      Connecticut Transportation Institute
      270 Middle Turnpike, Unit 5202
      Storrs, CT  United States  06269-5202
    • Principal Investigators:

      Konduri, Karthik

      Jackson, Eric

    • Start Date: 20140823
    • Expected Completion Date: 20191231
    • Actual Completion Date: 0

    Subject/Index Terms

    Filing Info

    • Accession Number: 01604808
    • Record Type: Research project
    • Source Agency: Connecticut Department of Transportation
    • Contract Numbers: JH 15-01
    • Files: RIP, STATEDOT
    • Created Date: Jul 19 2016 11:26AM