Automated Image-Based Aircraft Tracking and Record-Keeping for Utah Airports
Airport operational data is necessary for aviation decision-makers to quantitatively prepare airport master plans and fairly distribute national funds throughout the country. These data have other important applications, such as safety and security applications as well. Interestingly, most airports (i.e., typically general aviation airports) do not have control towers or staff to document the aircraft operations in their airport. That considered, many attempts have been made to automatically record the operations using radio, acoustics, and Automatic Dependent Surveillance–Broadcast (ADS-B) technologies. While these methods come with some advantages, they cannot accurately monitor aircraft operations at non-towered airports due to technological and commercial shortcomings. Therefore, this project attempts to develop intelligent cameras for performing operation count and recognition by using machine learning techniques. The proposed method addresses the issues that are existed with the other methods. A camera system is a passive system that does not require cooperative aircraft. Moreover, the authors' data analysis has shown that the proposed vision-based system holds the promise of an accurate system regarding both counting and recognizing the aircraft operations at non-towered airports during the busy traffic times in those airports.
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Supplemental Notes:
- This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
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Corporate Authors:
University of Utah, Salt Lake City
Department of Civil and Environmental Engineering
Salt Lake City, UT United States North Dakota State University
Fargo, ND United States 58108Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 Salt Lake City, UT United States -
Authors:
- Farhadmanesh, Mohammad
- Rashidi, Abbas
- Marković, Nikola
- Publication Date: 2022-8
Language
- English
Media Info
- Media Type: Digital/other
- Edition: Final Report
- Features: Figures; Photos; References; Tables;
- Pagination: 52p
Subject/Index Terms
- TRT Terms: Air traffic; Airport operations; Computer vision; Recordkeeping; Traffic surveillance; Vehicle detectors; Video
- Geographic Terms: Utah
- Subject Areas: Aviation; Data and Information Technology; Operations and Traffic Management; Terminals and Facilities;
Filing Info
- Accession Number: 01861035
- Record Type: Publication
- Report/Paper Numbers: MPC 22-476
- Contract Numbers: MPC-639
- Files: UTC, NTL, TRIS, ATRI, USDOT, STATEDOT
- Created Date: Oct 13 2022 9:26AM