Aircraft Deconfliction via Mathematical Programming: Review and Insights

Mercedes Pelegrín () and Claudia D’Ambrosio ()
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Mercedes Pelegrín: Laboratoire d’Informatique de l'École Polytechnique, French National Centre for Scientific Research, Institut Polytechnique de Paris, 91128 Palaiseau, France
Claudia D’Ambrosio: Laboratoire d’Informatique de l'École Polytechnique, French National Centre for Scientific Research, Institut Polytechnique de Paris, 91128 Palaiseau, France

Transportation Science, 2022, vol. 56, issue 1, 118-140

Abstract: Computer-aided air traffic management has increasingly attracted the interest of the operations research community. This includes, among other tasks, the design of decision support tools for the detection and resolution of conflict situations during flight. Even if numerous optimization approaches have been proposed, there has been little debate toward homogenization. We synthesize the efforts made by the operations research community in the past few decades to provide mathematical models to aid conflict detection and resolution at a tactical level. Different mathematical representations of aircraft separation conditions are presented in a unifying analysis. The models, which hinge on these conditions, are then revisited, providing insight into their computational performance.

Keywords: air traffic control; optimization; conflict detection and resolution; separation conditions (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:inm:ortrsc:v:56:y:2022:i:1:p:118-140

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