Increasing Air Traffic: What is the Problem?

Areski Hadjaz 1 Gaétan Marceau 2, * Pierre Savéant 3 Marc Schoenauer 2, 4
* Auteur correspondant
2 TAO - Machine Learning and Optimisation
LRI - Laboratoire de Recherche en Informatique, UP11 - Université Paris-Sud - Paris 11, Inria Saclay - Ile de France, CNRS - Centre National de la Recherche Scientifique : UMR8623
Abstract : Nowadays, huge efforts are made to modernize the air traffic management systems to cope with uncertainty, complexity and sub-optimality. An answer is to enhance the infor- mation sharing between the stakeholders. This paper introduces a framework that bridges the gap between air traffic management and air traffic control on the one hand, and bridges the gap between the ground, the approach and the en-route centers on the other hand. An original system is presented, that has three essential components: the trajectory models, the optimization process, and the monitoring process. The uncertainty of the trajectory is modeled with a Bayesian Network, where the nodes are associated to two types of random variables: the time of overflight on metering points of the airspace, and the traveling time of the routes linking these points. The resulting Bayesian Network covers the complete airspace, and Monte- Carlo simulations are done to estimate the probabilities of sector congestion and delays. On top of this trajectory model, an optimization process minimizes these probabilities by tuning the parameters of the Bayesian trajectory model related to overflight times on metering points. The last component is the monitoring process, that continuously updates the situation of the airspace, modifying the trajectories uncertainties according to actual positions of aircraft. After each update, a new optimal set of overflight times is computed, and can be communicated to the controllers as clearances for the aircraft pilots. The paper presents a formal specification of this global optimization problem, whose underlying rationale was derived with the help of air traffic controllers at Thales Air Systems.
Type de document :
Communication dans un congrès
Schaefer, Dirk. SESAR 2nd Innovation Days, Nov 2012, Braunschweig, Germany. 2012, Proceedings of the SESAR Innovation Days (2012)
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Soumis le : lundi 17 décembre 2012 - 14:09:23
Dernière modification le : vendredi 23 février 2018 - 13:42:26
Document(s) archivé(s) le : dimanche 18 décembre 2016 - 03:22:27


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  • HAL Id : hal-00766017, version 1
  • ARXIV : 1212.3996



Areski Hadjaz, Gaétan Marceau, Pierre Savéant, Marc Schoenauer. Increasing Air Traffic: What is the Problem?. Schaefer, Dirk. SESAR 2nd Innovation Days, Nov 2012, Braunschweig, Germany. 2012, Proceedings of the SESAR Innovation Days (2012). 〈hal-00766017〉



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