A Geometric Approach to Study Aircraft Trajectories: the benefits of OpenSky Network ADS-B data - ENAC - École nationale de l'aviation civile Accéder directement au contenu
Proceedings/Recueil Des Communications Année : 2022

A Geometric Approach to Study Aircraft Trajectories: the benefits of OpenSky Network ADS-B data

Résumé

To date, the statistical analysis of aircraft trajectories has been under-exploited in the Airspace Traffic Management (ATM) literature. One reason is the need for advanced methods to tackle the high sampling irregularity and temporal correlation that both characterize a trajectory. Differential geometry provides a relevant framework to study trajectories. Modeling trajectories as parametrized curves, shape analysis allows to answer operational questions. This work presents a geodesic distance that rigorously defines and quantifies shape differences between aircraft trajectories. The key idea is to compare how the shape of a given trajectory changes from one popular data set (the Eurocontrol R&D data archive) to another one (OpenSky Network ADS-B data). Distances as well as geodesic paths are computed for a sample of flights departing from Toulouse-Blagnac (LFBO) and landing at Paris-Orly (LFPO) in 2019. Its use for clustering purposes is illustrated and discussed.
Fichier principal
Vignette du fichier
engproc-28-00006.pdf (3.68 Mo) Télécharger le fichier
Origine : Publication financée par une institution

Dates et versions

hal-03848832 , version 1 (11-11-2022)
hal-03848832 , version 2 (01-01-2023)

Identifiants

  • HAL Id : hal-03848832 , version 2

Citer

Rémi Perrichon, Xavier Gendre, Thierry Klein. A Geometric Approach to Study Aircraft Trajectories: the benefits of OpenSky Network ADS-B data. 2022. ⟨hal-03848832v2⟩
62 Consultations
69 Téléchargements

Partager

Gmail Facebook X LinkedIn More