Applied Game Theory to Enhance Air Traffic Control in 3D Airspace

Alireza Rangrazjeddi, Andrés D. González and Kash Barker ()
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Alireza Rangrazjeddi: University of Oklahoma
Andrés D. González: University of Oklahoma
Kash Barker: University of Oklahoma

Journal of Optimization Theory and Applications, 2023, vol. 196, issue 3, No 15, 1125-1154

Abstract: Abstract The popularity of air transportation, both for personal and commercial uses, has been growing in recent years. As a result, the traffic volume in the airspace is constantly increasing, which leads to the higher chances of conflicts among aircraft. In air traffic management, conflict detection and resolution are challenging and stressful tasks due to the highly dynamic nature of aircraft flight plans as well as the interdependency among pilots’ decisions. Therefore, reliable and comprehensive decision-making techniques are necessary to deal with such conflicts in the airspace in a timely manner. In this regard, innovative technological developments are essential to assist decision-makers. In this paper, we propose a semi-decentralized, three-stage algorithm based on game theory to resolve potential conflicts among multiple aircraft traveling in a 3D shared airspace. The result from the algorithm shows that deviation costs are highly sensitive to the level of congestion in the airspace. The proposed algorithm provides useful information for air traffic control and pilots to enhance their coordination and facilitate decision-making procedures in scenarios with single and multiple conflicts during both nominal and deviated-from-nominal situations.

Keywords: Air traffic control; Conflict detection and resolution; Game theory (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s10957-023-02165-9

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