A new air traffic complexity metric based on dynamical system modelization

Daniel Delahaye (1) , Philippe Paimblanc (2) , Stéphane Puechmorel (2) , Jonathan Histon (3) , John Hansman (3)

1 DGAC - Direction Générale de l'Aviation Civile
2 ENAC - Ecole Nationale de l'Aviation Civile
3 MIT - Massachusetts Institute of Technology

This paper presents new concepts to address the air traffic complexity modeling problem. Two new geometrical metrics have been introduced and have been found very useful to capture typical features of traffic complexity. The covariance metric is very adapted to identify disorder in a set of speed vectors and can be applied for en route airspace (en route airspace is the airspace between airports). Similarly, the Koenig metric identifies easily the curl movement organizations and can be applied to areas around airports where air traffic control procedures impose turns on aircraft trajectories.

Mots clés: aerospace control; air traffic control; aircraft navigation; airports; communication system; traffic control; electromagnetic compatibility; road accidents; time measurement; waste materials

Domaines: Mathématiques [math]; Optimisation et contrôle [math.OC]

Daniel Delahaye, Philippe Paimblanc, Stéphane Puechmorel, Jonathan Histon, John Hansman. A new air traffic complexity metric based on dynamical system modelization. DASC 2002, 21st Digital Avionics Systems Conference, Oct 2002, Irvine, United States. pp 4A2-1 - 4A2-12 vol.1, ⟨10.1109/DASC.2002.1067960⟩. ⟨hal-00938408⟩