Optimization of air traffic control sector configurations using tree search methods and genetic algorithms - ENAC - École nationale de l'aviation civile Accéder directement au contenu
Communication Dans Un Congrès Année : 2002

Optimization of air traffic control sector configurations using tree search methods and genetic algorithms

David Gianazza
Jean-Marc Alliot

Résumé

The paper describes two classical tree search algorithms and a genetic algorithm for the Air Traffic Flow Management process that take as input the traffic flows and build optimal sector configurations considering the airspace capacity constraints and also the maximum number of control positions that can be manned at each time of the day. This optimization is made in a realistic context, using the airspace description data, the traffic data, the number of available control positions, and the sector capacities of the French ATC centers.
Fichier principal
Vignette du fichier
Gianazza_DASC2002.pdf (239.75 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-00990194 , version 1 (13-05-2014)

Identifiants

Citer

David Gianazza, Jean-Marc Alliot. Optimization of air traffic control sector configurations using tree search methods and genetic algorithms. DASC 2002, Digital Avionics Systems Conference, Oct 2002, Irvine, United States. pp 2A5-1 - 2A5-8, ⟨10.1109/DASC.2002.1067912⟩. ⟨hal-00990194⟩
130 Consultations
637 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More