Transportation Learning Network

Virtual Learning

MPC Research: Automated Image-Based Aircraft Tracking

  • May 11, 2022
    Virtual Learning (desktop/laptop and mobile devices)

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Description

Automated Image-Based Aircraft Tracking and Record-Keeping for Utah Airports considers that over 97% of the United States airports are not equipped with control towers. As a result, these airports need an alternative solution to monitor their airport-level aircraft operations, including departures, arrivals, and touch-and-goes. The current research project uses computer vision techniques to develop a machine vision system capable of detecting, counting, and identifying aircraft operations at general aviation non-towered airports.

Speaker(s)

Mohammad Farhadmanesh is a Ph.D. student at the University of Utah Department of Civil and Environmental Engineering. His research focuses on applying image/video processing, computer vision, and machine learning techniques to model civil infrastructure systems (e.g., airports, roadways, etc.) for traffic monitoring and asset management purposes.
Abbas Rashidi, Ph.D., CPC, is Assistant Professor of Civil Engineering at the University of Utah. His dual background in civil engineering, as well as electrical and computer engineering, has enabled him to conduct multidisciplinary research and to implement electrical engineering tools and computational techniques to solve complex civil engineering problems.
Nikola Marković received his Ph.D. degree in transportation engineering from the University of Maryland in 2013. Currently, he is an assistant professor of civil and environmental engineering at the University of Utah. His research uses operations research and data science to improve the efficiency of transportation systems. His current research is supported by two National Science Foundation grants. He was a recipient of the 2015 Glover-Klingman Prize.

Target Audience

This presentation is for personnel who are responsible for air traffic control for their organizations.