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Journal Articles Transportation Science Year : 2021

Aircraft deconfliction via Mathematical Programming: Review and insights

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 detection and resolution of conflict situations on flight. Even if numerous optimization approaches have been proposed, there has been little debate towards 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 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.
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Dates and versions

hal-02902566 , version 1 (20-07-2020)
hal-02902566 , version 2 (21-12-2020)
hal-02902566 , version 3 (08-03-2021)

Identifiers

  • HAL Id : hal-02902566 , version 3

Cite

Mercedes Pelegrín, Claudia d'Ambrosio. Aircraft deconfliction via Mathematical Programming: Review and insights. Transportation Science, 2021, 56 (1), pp.118-140. ⟨hal-02902566v3⟩
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