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A new method for generating optimal conflict free 4D trajectory

Nour Elhouda Dougui 1 Daniel Delahaye 1 Stéphane Puechmorel 1 Marcel Mongeau 2
2 MAIA-OPTIM - ENAC Equipe MAIAA-OPTIM
MAIAA - ENAC - Laboratoire de Mathématiques Appliquées, Informatique et Automatique pour l'Aérien
Abstract : The need for increasing air traffic capacity motivates 4D trajectory planning concept. In order to generate conflictfree 4D trajectories, we introduce a new concept based on light propagation modeling algorithm. This algorithm is a wavefront propagation method that yields a natural solution for the path planning problem specifically in the case of air traffic congestion. We conclude this paper with numerical experimentation of our approach on a simplified (2D + time) test problem.
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Nour Elhouda Dougui, Daniel Delahaye, Stéphane Puechmorel, Marcel Mongeau. A new method for generating optimal conflict free 4D trajectory. ICRAT 2010, 4th International Conference on Research in Air Transportation, Jun 2010, Budapest, Hungary. pp 185-191. ⟨hal-00938711⟩

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