Skip to Main content Skip to Navigation
Conference papers

Aircraft Conflict Resolution by Genetic Algorithm and B-Spline Approximation

Daniel Delahaye 1 Clément Peyronne 2 Marcel Mongeau 2 Stéphane Puechmorel 1
2 MAIA-OPTIM - ENAC Equipe MAIAA-OPTIM
MAIAA - ENAC - Laboratoire de Mathématiques Appliquées, Informatique et Automatique pour l'Aérien
Abstract : Conflict resolution has always been a sensitive matter in air-traffic management. Current European projects aim partial or total automation of air-traffic control to deal with the constant growth of air-traffic. Technological advances on flight management system allows us to consider an automatic conflict resolution using continuous trajectories. In this paper, we present a new methodology that, first, relies on B-splines to model trajectories, secondly models air-traffic conflict resolution as an optimization problem whose decision variables are the spline control points. Finally, we use genetic algorithms to tackle this optimization problem in order to generate optimal conflict-free situations.
Complete list of metadatas

Cited literature [7 references]  Display  Hide  Download

https://hal-enac.archives-ouvertes.fr/hal-00956473
Contributor : Céline Smith <>
Submitted on : Thursday, March 6, 2014 - 5:14:06 PM
Last modification on : Wednesday, July 24, 2019 - 11:48:02 PM
Document(s) archivé(s) le : Friday, June 6, 2014 - 11:01:21 AM

File

Delahaye_EIWAC2010.pdf
Explicit agreement for this submission

Identifiers

  • HAL Id : hal-00956473, version 1

Collections

Citation

Daniel Delahaye, Clément Peyronne, Marcel Mongeau, Stéphane Puechmorel. Aircraft Conflict Resolution by Genetic Algorithm and B-Spline Approximation. EIWAC 2010, 2nd ENRI International Workshop on ATM/CNS, Nov 2010, Tokyo, Japan. pp 71-78. ⟨hal-00956473⟩

Share

Metrics

Record views

745

Files downloads

640