Real-Time Commercial Vehicle Safety & Security Monitoring

Real-time monitoring of commercial vehicles in a highway network is a technologically challenging endeavor under the constraints that these vehicles are not required to be equipped with tracking devices such as radio frequency identification (RFID) tags, other transponders of similar nature, or global positioning system (GPS) based active tracking devices. Instead, a passive mechanism, based on the license plates all vehicles are legally required to install, is the only feasible way to uniquely identify and track each individual vehicle at different locations in a roadway system. Previous phases of this undertaking have successfully employed state-of-the-art license plate recognition (LP) hardware and developed self-learning post-processing algorithms to track commercial vehicles with a positive matching rate of over 97% and a false matching rate of less than 1%, even though the uncalibrated LP recognition rates are measured to be in the range of a dismal 25~55%, largely because of the significant variations in plate color, font, design, syntax, etc. from one state to another in the US. The goal of this phase is to integrate the hardware and the algorithms and demonstrate real-time commercial vehicle tracking in a test bed along I-40 in Knoxville, TN. To this end, LP devices are to be installed at strategic locations on I-40 and at the weigh station west of Knoxville, real-time 3G cellular data network is to be established and maintained among these LP units and a control center, sentinel software implementing the plate matching algorithms is to be developed to perform the vehicle tracking task in real time, and field demonstrations will be held to successfully conclude the project. By developing this highly reliable vehicle technology, our research will enable many desirable applications including automated speed enforcement, in-depth origin-destination study, continuous BOLO (be-on-the-lookout) vehicle identification and tracking, sensible fuel-tax considerations, inexpensive non-stop tolling, ITS traffic condition monitoring, evacuation order compliance monitoring, incident detection, air quality and truck speed control, etc. without resorting to active tracking devices, which face technological and policy challenges.


  • English


  • Status: Active
  • Contract Numbers:



  • Sponsor Organizations:

    Research and Innovative Technology Administration

    University Transportation Centers Program
    1200 New Jersey Avenue
    Washington, DC  United States  20590
  • Project Managers:

    Petrolino, Joseph

    Han, Lee

  • Performing Organizations:

    University of Tennessee, Knoxville

    Knoxville, TN  United States 
  • Principal Investigators:

    Han, Lee

  • Start Date: 20101101
  • Expected Completion Date: 0
  • Actual Completion Date: 20110731
  • Source Data: RiP Project 28153

Subject/Index Terms

Filing Info

  • Accession Number: 01463670
  • Record Type: Research project
  • Source Agency: National Transportation Research Center, Incorporated
  • Contract Numbers: DTRT-06-G-0043, U27
  • Files: UTC, RiP, USDOT
  • Created Date: Jan 3 2013 2:28PM