Refining Inductive Loop Signature Technology for Statewide Vehicle Classification Counts

With higher traffic volumes and greater restrictions on placing road tubes to do vehicle classification counts, we need to find alternate ways to get vehicle class data. The loop signature technology could be a huge innovation that can replace existing data collection methods and would save the state a lot of time and money. The objective of this research is to perform additional testing at traffic signals and Automatic Traffic Recorder (ATR) sites to better understand loop signature performance issues, to improve the classification accuracy, and develop an enhanced pattern recognition based on the signature profiles of various types of vehicles in Minnesota.


    • English


    • Status: Programmed
    • Sponsor Organizations:

      Minnesota Department of Transportation

      395 John Ireland Boulevard
      St Paul, MN  United States  55155
    • Performing Organizations:

      University of Minnesota

      Department of Mechanical Engineering
      111 Church Street SE
      Minneapolis, MN  United States  55455
    • Principal Investigators:

      Liao, Chen-Fu

    • Start Date: 20200701
    • Expected Completion Date: 0
    • Actual Completion Date: 0

    Subject/Index Terms

    Filing Info

    • Accession Number: 01727540
    • Record Type: Research project
    • Source Agency: Minnesota Department of Transportation
    • Files: RiP, STATEDOT
    • Created Date: Jan 10 2020 11:29AM