Skip to Main content Skip to Navigation
Conference papers

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.
Document type :
Conference papers
Complete list of metadata

Cited literature [16 references]  Display  Hide  Download
Contributor : Laurence Porte Connect in order to contact the contributor
Submitted on : Monday, May 5, 2014 - 3:06:12 PM
Last modification on : Tuesday, October 19, 2021 - 11:02:49 AM
Long-term archiving on: : Tuesday, August 5, 2014 - 10:50:19 AM


Files produced by the author(s)




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⟩



Les métriques sont temporairement indisponibles