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Using Associative Processing to Simplify Current Air Traffic Control

Mohammed Amin, Rasti Jameel
http://rave.ohiolink.edu/etdc/view?acc_num=kent1452616856

Abstract Details

2015, MS, Kent State University, College of Arts and Sciences / Department of Computer Science.
Air transportation is an important part of the modern world. The demand for air travel is increasing every day. Despite the rapid growth of technology, air travel systems failed to grow at the same rate. The current system for air traffic control (ATC) is similar to the system used decades ago. With the current growth in demand for air traveling, ATC will not be able to handle this increase. Therefore, a better system needs to be implemented for ATC. One of the possible approaches is an automated ATC using associative processing. In this thesis we gathered information about how the current ATC system works, following the Federal Aviation Administration (FAA) rules. We also provide multiple resources (e.g., FAA documents) that provide a deeper understanding of ATC that will be useful in further studies of this topic. Also addressed are some issues of the current system such as cost, delays, and errors that may result due to an air traffic controller’s actions and the limited capacity of air traffic controllers. We implemented a model to represent some of the aspects of the current ATC using associative processing instead of air traffic controllers. Automation of the handoff operation, collision detection, collision avoidance, and course correction are implemented. Our results indicate that the current bottlenecks involving air traffic control can be avoided by implementing this type of system in the future. The same system can be used for other applications such as controlling the flight of unmanned aerial vehicles for an automated package delivery system.
Johnnie Baker (Advisor)
Paul Farrell (Committee Member)
Arden Ruttan (Committee Member)
61 p.
Aerospace Engineering; Aerospace Materials; Computer Science
air traffic control; ATC; air traffic management; air traffic collision detection; SIMD; associative processing;

Recommended Citations

Citations

  • Mohammed Amin, R. J. (2015). Using Associative Processing to Simplify Current Air Traffic Control [Master's thesis, Kent State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=kent1452616856

    APA Style (7th edition)

  • Mohammed Amin, Rasti. Using Associative Processing to Simplify Current Air Traffic Control. 2015. Kent State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=kent1452616856.

    MLA Style (8th edition)

  • Mohammed Amin, Rasti. "Using Associative Processing to Simplify Current Air Traffic Control." Master's thesis, Kent State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=kent1452616856

    Chicago Manual of Style (17th edition)

kent1452616856
1,091
© 2015, some rights reserved.Creative Commons License Using Associative Processing to Simplify Current Air Traffic Control by Rasti Jameel Mohammed Amin is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by Kent State University and OhioLINK.