Authors:
Clement Peyronne
1
;
Daniel Delahaye
1
;
Marcel Mongeau
2
and
Laurent Lapasset
3
Affiliations:
1
ENAC, France
;
2
Universite de Toulouse, UPS, INSA, UT1, UTM and CNRS, France
;
3
Capgemini, France
Keyword(s):
Air-traffic conflict resolution, B-splines, Genetic algorithms.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Computational Intelligence
;
Evolutionary Computing
;
Genetic Algorithms
;
Informatics in Control, Automation and Robotics
;
Intelligent Control Systems and Optimization
;
Soft Computing
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.