Genetic algorithms for Air Traffic Control systems

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 aircraft 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 of the improvements used (simulated annealing, sharing), we study three applications of GAs to ATC. We first show an application of GAs to en-route conflict resolution. Then we give an example on GAs used to optimize air space sectoring. The last part gives an application of GAs to traffic assignment.
Type de document :
Communication dans un congrès
IFORS 1996, 14th Triennal Conference of the International Federation of Operational Research Sociaties, Jul 1996, Vancouver, Canada. 1996
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Soumis le : vendredi 18 avril 2014 - 16:38:15
Dernière modification le : jeudi 10 mai 2018 - 02:05:31
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  • HAL Id : hal-00938864, version 1

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Daniel Delahaye, Nicolas Durand, Jean-Marc Alliot, Marc Schoenauer. Genetic algorithms for Air Traffic Control systems. IFORS 1996, 14th Triennal Conference of the International Federation of Operational Research Sociaties, Jul 1996, Vancouver, Canada. 1996. 〈hal-00938864〉

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