Learning Aircraft Behavior from Real Air Traffic

Arcady Rantrua (1, 2) , Eric Maesen (1) , Sébastien Chabrier (1) , Marie-Pierre Gleizes (2)

1 Sopra Steria (FRANCE)
2 IRIT-SMAC - Systèmes Multi-Agents Coopératifs

What if we could observe the real world to teach our simulation how to work? There would be no need for physics computation, no need to describe what kind of entities exists in the world. Everything would be observed, learned and made usable for simulation. This is the goal of EVAA.

Mots clés: Operations and traffic management

Domaines: Système multi-agents [cs.MA]

Arcady Rantrua, Eric Maesen, Sébastien Chabrier, Marie-Pierre Gleizes. Learning Aircraft Behavior from Real Air Traffic. The Journal of Air Traffic Control, 2015, 57 (4), pp.10-14. ⟨hal-03464263⟩