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Communication dans un congrès

4D trajectories : a functional data perspective

Abstract : 3D or 4D trajectories are fundamental objects within the frame of ATM and can be defined as mappings from a bounded interval to the space R3. However, this functional aspect is almost never used in applications. A great improvement over existing procedures for statistical analysis of trajectories can be obtained by explicitly considering trajectory data as functional data. Since raw functional data is by essence infinite dimensional, no computation can be made unless a finite representation has been found: all the complexity of functional data analysis is hidden in this stage. The present paper will first analyze the functional aspect of trajectories in order to extract operationally relevant quantities then will give a way of representing optimally aircraft trajectories with a finite number of parameters, allowing further processing. Applications to trajectory prediction and classification will be briefly discussed at the end.
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Communication dans un congrès
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Contributeur : Laurence Porte Connectez-vous pour contacter le contributeur
Soumis le : lundi 5 mai 2014 - 15:06:12
Dernière modification le : mardi 19 octobre 2021 - 11:02:49
Archivage à long terme le : : mardi 5 août 2014 - 10:50:19


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Stéphane Puechmorel, Daniel Delahaye. 4D trajectories : a functional data perspective. DASC 2007, 26th Digital Avionics Systems Conference, Oct 2007, Dallas, United States. pp 1.C.6-1 - 1.C.6-12, ⟨10.1109/DASC.2007.4391832⟩. ⟨hal-00938181⟩



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