Genetic Algorithms for Air Traffic Control System

Daniel Delahaye, Nicolas Durand, Jean-Marc Alliot, Marc Schoenauer

14th IFORS Triennal Conference

1996/07/08

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Abstract:

The Air Traffic Control system of a country manages all the aircrafts that fly in its airspace, designs control sectors, manages the flows between the different airports and beacons, ensures separation between aircrafts during their flight, take off and landing. Thus, it operates at different levels, each one of them designed to provide control, ensure safety, and limit the traffic passed to the following level. In this paper we show how Genetic Algorithms can improve some of the tasks manually done by the ATC system. After a brief description of GAs, some fo the improvements used (simulated annealing, sharing), we study three applications of GAs to ATC. We first show how GAs can optimize air space sectoring. Then we give an application of GAs to traffic assignment. The last part gives an application of GAs to en-route conflict resolution.

Keywords:

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BibTeX entry:

@InProceedings{ifors96,
 title = {Genetic Algorithms for Air Traffic Control System},
 author = {Daniel Delahaye and Nicolas Durand and Jean-Marc Alliot and Marc Schoenauer },
 BookTitle = {14th IFORS Triennal Conference},
 year = {1996}
}

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