Air traffic conflict resolution via B-splines and genetic algorithms

Clément Peyronne 1 Daniel Delahaye 2 Laurent Lapasset 3 Marcel Mongeau 1
1 MAIA-OPTIM - ENAC Equipe MAIAA-OPTIM
MAIAA - ENAC - Laboratoire de Mathématiques Appliquées, Informatique et Automatique pour l'Aérien
2 ENAC - Ecole Nationale de l'Aviation Civile
3 Capgemini
Capgemini
Abstract : 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.
Keywords : conflict resolution Air Traffic Management optimization
Type de document :
Communication dans un congrès
TOGO 2010, The TOulouse Global Optimization workshop, Aug 2010, Toulouse, France. pp xxxx, 2010
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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, 2010. 〈hal-00938862〉

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