Aircraft Trajectory Planning with Dynamical Obstacles by Artificial Evolution and Convex Hull Generations

S Pierre 1 Daniel Delahaye 2 Sonia Cafieri 2
1 INSA Toulouse - Institut National des Sciences Appliquées - Toulouse
2 MAIAA - ENAC - Laboratoire de Mathématiques Appliquées, Informatique et Automatique pour l'Aérien
Abstract : Air Traffic Management (ATM) ensures the safety of flights by optimizing flows and maintaining separation between aircraft. Many ATM applications involve some aircraft trajectory optimization in order to improve the performance of the overall system. Trajectories are objects belonging to spaces with infinite dimensions. Widely used approaches are based on discretization, sampling trajectories at some regular points,and then using appropriate representations to reduce the dimension of the search space. We propose an approach in which trajectories in a two-dimensional space are designed with the help of convex hull generation. By using static as well as moving obstacles for which the position and the size are controlled by artificial evolution, we propose a new algorithm for efficient trajectory planning in Terminal Maneuvering Areas.
Keywords : Obstacle avoidance Optimization TMA Trajectory planning
Type de document :
Chapitre d'ouvrage
Air Traffic Management and Systems II Selected Papers of the 4th ENRI International Workshop, 2015, 420 (Part II), Springer, pp 49-67, 2017, Lecture Notes in Electrical Engineering, 978-4-431-56421-8. 〈10.1007/978-4-431-56423-2_9〉
Liste complète des métadonnées
https://hal-enac.archives-ouvertes.fr/hal-01280638
Contributeur : Laurence Porte <>
Soumis le : jeudi 3 mars 2016 - 19:27:53
Dernière modification le : mercredi 28 février 2018 - 10:23:00
Document(s) archivé(s) le : samedi 4 juin 2016 - 10:11:10

Fichier

【CR2-3-5】EN-A-064.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Collections

ENAC | INSMI | TDS-MACS | INSA-TOULOUSE | OPTIM

Citation

S Pierre, Daniel Delahaye, Sonia Cafieri. Aircraft Trajectory Planning with Dynamical Obstacles by Artificial Evolution and Convex Hull Generations. Air Traffic Management and Systems II Selected Papers of the 4th ENRI International Workshop, 2015, 420 (Part II), Springer, pp 49-67, 2017, Lecture Notes in Electrical Engineering, 978-4-431-56421-8. 〈10.1007/978-4-431-56423-2_9〉. 〈hal-01280638〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

208

Téléchargements de fichiers

65

Picto

Contact  : publications@enac.fr