Automated Image-Based Aircraft Tracking and Record-Keeping for Utah Airports

Except for a small number of airports that are equipped with traffic control towers, airports in the State of Utah are controlled in a traditional fashion. The current method relies on forms filled out by the pilots. In some cases, a rough number of the passed airplanes are counted using radio calls for landing permissions. However, these systems are highly prone to error and are not reliable. Also, there is no documented evidence after counting the airplanes using radio transmission data. This project is an attempt to address the above-mentioned issue by proposing an automated traffic control system in small-sized airports. An image-based traffic control system is one promising solution that is already in use for highway traffic control systems. In this system, the research team can monitor, count, and recognize airplanes flying from or landing in an airport. This can be achieved by using the video data collected from cameras mounted on strategic points in the airport. Using the collected video data and relevant computer vision techniques, the research team intends to build an air-traffic control system able to count the traffic load and to recognize the aircraft models flying from or landing on the airport's runway. Results of the project will improve safety and automation aspects within small to medium size airports within the state of Utah.


  • English


  • Status: Completed
  • Funding: $63001
  • Contract Numbers:


  • Sponsor Organizations:

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590
  • Managing Organizations:

    Mountain-Plains Consortium

    North Dakota State University
    Fargo, ND  United States  58108
  • Project Managers:

    Tolliver, Denver

  • Performing Organizations:

    Dept. of Civil and Environmental Engineering

    University of Utah
    Salt Lake City, UT  United States 
  • Principal Investigators:

    Rashidi, Abbas

    Markovic, Nikola

  • Start Date: 20201030
  • Expected Completion Date: 20220731
  • Actual Completion Date: 20221005
  • USDOT Program: University Transportation Centers Program
  • Source Data: MPC-639

Subject/Index Terms

Filing Info

  • Accession Number: 01757393
  • Record Type: Research project
  • Source Agency: Mountain-Plains Consortium
  • Contract Numbers: 69A3551747108
  • Files: UTC, RIP
  • Created Date: Nov 9 2020 2:08PM