Aircraft trajectory complexity metric: an image processing approach

B G Nguyen (1) , Daniel Delahaye (2) , P Maréchal (3)

1 NUCE - National University of Civil Engineering
2 OPTIM - ENAC - Equipe Optim
3 IMT - Institut de Mathématiques de Toulouse UMR5219

In this paper we propose an image processing approach to air traffic management. We derive a method for extracting the main flows, and then develop an airspace complexity indicator along the main flows. This index can be used at the macroscopic level. Our algorithm was tested on data from the French airspace.

Domaines: Mathématiques [math]; Traitement du signal et de l'image [eess.SP]; Intelligence artificielle [cs.AI]

B G Nguyen, Daniel Delahaye, P Maréchal. Aircraft trajectory complexity metric: an image processing approach. Journal of Mathematical Applications, 2018, 16 (1), pp.37-48. ⟨hal-03578034⟩