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Strategic deconfliction of aircraft trajectories

Supatcha Chaimatanan 1, * Daniel Delahaye 2 Marcel Mongeau 1
* Corresponding author
1 MAIA-OPTIM - ENAC Equipe MAIAA-OPTIM
MAIAA - ENAC - Laboratoire de Mathématiques Appliquées, Informatique et Automatique pour l'Aérien
Abstract : In this work, we present a methodology to minimize the number of potential conflicts between aircraft trajectories based on route-slot allocation techniques. The traffic assignment problem is modeled as a combinatorial optimization problem for which two metaheuristic optimization algorithms are developed and implemented. The first algorithm relies on a standard simulated annealing, while the second algorithm uses a hybrid-metaheuristic method. The proposed algorithms were implemented and tested on real air-traffic data for which an optimal solution for every trajectory is obtained within affordable computation time.
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Supatcha Chaimatanan, Daniel Delahaye, Marcel Mongeau. Strategic deconfliction of aircraft trajectories. ISIATM 2013, 2nd International Conference on Interdisciplinary Science for Innovative Air Traffic Management, Jul 2013, Toulouse, France. p xxxx. ⟨hal-00868450⟩

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