Conflict-free trajectory optimization using B-splines and Genetic Algorithm

Clément Peyronne 1 Laurent Lapasset 1 Daniel Delahaye 2
1 Capgemini [Toulouse]
2 ENAC - Ecole Nationale de l'Aviation Civile
Abstract : 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.
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https://hal-enac.archives-ouvertes.fr/hal-01511715
Contributor : Laurence Porte <>
Submitted on : Monday, October 2, 2017 - 10:07:19 PM
Last modification on : Thursday, October 5, 2017 - 9:12:01 PM

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Clément Peyronne, Laurent Lapasset, Daniel Delahaye. Conflict-free trajectory optimization using B-splines and Genetic Algorithm. INO 2010, SESAR Innovation days 2010, 9th Innovative Research Workshop & Exhibition, Eurocontrol, Dec 2010, Brétigny sur Orge, France. ⟨hal-01511715⟩

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