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Learning Aircraft Behavior from Real Air Traffic

Arcady Rantrua 1, 2 Eric Maesen 1 Sébastien Chabrier 1 Marie-Pierre Gleizes 2 
2 IRIT-SMAC - Systèmes Multi-Agents Coopératifs
IRIT - Institut de recherche en informatique de Toulouse
Abstract : 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.
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Journal articles
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Submitted on : Friday, December 3, 2021 - 10:07:04 AM
Last modification on : Wednesday, June 1, 2022 - 4:08:57 AM
Long-term archiving on: : Friday, March 4, 2022 - 6:42:43 PM


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  • HAL Id : hal-03464263, version 1
  • OATAO : 17047


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



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