Conflict resolution by speed regulation

Maxime Galloux (1) , Alexandre Gondran (1) , Cyril Allignol (1) , Nicolas Barnier (2)

1 MAIAA - ENAC - Laboratoire de Mathématiques Appliquées, Informatique et Automatique pour l'Aérien
2 MAIA-OPTIM - ENAC Equipe MAIAA-OPTIM

To overcome the traffic growth predicted by current ATM research programs in Europe and the US, we propose a new model to avoid conflicts based on small speed regulations, as depicted in the ERASMUS project [6], with interval conflict constraints as in [2]. After a first conflict detection phase, a centralized solver computes new RTAs to dynamically adjust the flight plans during the flight, taking operational costs for airlines and for ATC into account. The resolution would be iteratively performed over a rolling horizon to handle the uncertainties inherent to trajectory prediction. The described model is currently being implemented using Constraint Programming and Local Search as optimization techniques. Simulations will be carried out with Europe-wide traffic data.

Domaines: Optimisation et contrôle [math.OC]

Maxime Galloux, Alexandre Gondran, Cyril Allignol, Nicolas Barnier. Conflict resolution by speed regulation. INAIR 2012, International Conference on Air Transport, Sep 2012, Zilina, Slovakia. pp xxxx. ⟨hal-00938859⟩