Air traffic conflict resolution via B-splines and genetic algorithms - ENAC - École nationale de l'aviation civile Accéder directement au contenu
Communication Dans Un Congrès Année : 2010

Air traffic conflict resolution via B-splines and genetic algorithms

Clément Peyronne
  • Fonction : Auteur
  • PersonId : 949249
Daniel Delahaye
Laurent Lapasset
Marcel Mongeau


From the beginning, the most critical point of Air Traffic Control was to ensure safety separation distance between airplanes. To achieve this goal, a safety standard separation has been defined : 5 Nm (Nautical miles) horizontally and 1000 feet vertically (separation box). Air traffic controllers are responsible for ensuring the respect of this separation rules. In the future, Air Traffic Management (ATM) will have to deal with a doubling of the air traffic while ensuring at least equivalent standards of safety [1]. The SESAR european project aims to find solutions to this problematic by automating the current system or by providing a decision support to the air traffic controllers in order to decrease their workload. Considering the technological advances on the airplane Flight Managment System (FMS) we will explore in this paper the possibility of a full automation generating continuous trajectories that new FMS can follow.
Fichier principal
Vignette du fichier
549.pdf (188.48 Ko) Télécharger le fichier
Origine : Accord explicite pour ce dépôt

Dates et versions

hal-00938862 , version 1 (06-03-2014)


  • HAL Id : hal-00938862 , version 1


Clément Peyronne, Daniel Delahaye, Laurent Lapasset, Marcel Mongeau. Air traffic conflict resolution via B-splines and genetic algorithms. TOGO 2010, The TOulouse Global Optimization workshop, Aug 2010, Toulouse, France. pp xxxx. ⟨hal-00938862⟩
175 Consultations
127 Téléchargements


Gmail Facebook X LinkedIn More