 |
Conference papers
Optimizing B-splines using Genetic Algorithms Applied to Air-traffic Conflict Resolution
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.
Cited literature [7 references]
https://hal-enac.archives-ouvertes.fr/hal-00987459
Contributor : Céline Smith <>
Submitted on : Tuesday, May 6, 2014 - 11:41:48 AM
Last modification on : Monday, May 10, 2021 - 1:52:02 PM
Long-term archiving on: : Wednesday, August 6, 2014 - 12:10:34 PM
Contributor : Céline Smith <>
Submitted on : Tuesday, May 6, 2014 - 11:41:48 AM
Last modification on : Monday, May 10, 2021 - 1:52:02 PM
Long-term archiving on: : Wednesday, August 6, 2014 - 12:10:34 PM
File
Peyronne_ICEC2010.pdf
Files produced by the author(s)