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Open AccessProceedings

Detecting Events in Aircraft Trajectories: Rule-Based and Data-Driven Approaches

by 1,*,‡,§, 2,§, 1,§ and 1
1
ONERA/DTIS, Université de Toulouse, 31055 Toulouse CEDEX 4, France
2
Faculty of Aerospace Engineering, Delft University of Technology, 2629 HS Delft, The Netherlands
*
Author to whom correspondence should be addressed.
Presented at the 8th OpenSky Symposium 2020, Online, 12–13 November 2020.
Current address: 2 Avenue Édouard Belin, 31055 Toulouse CEDEX 4, France.
§
These authors contributed equally to this work.
Proceedings 2020, 59(1), 8; https://doi.org/10.3390/proceedings2020059008
Published: 1 December 2020
(This article belongs to the Proceedings of 8th OpenSky Symposium 2020)
The large amount of aircraft trajectory data publicly available through open data sources like the OpenSky Network presents a wide range of possibilities for monitoring and post-operational analysis of air traffic performance. This contribution addresses the automatic identification of operational events associated with trajectories. This is a challenging task that can be tackled with both empirical, rule-based methods and statistical, data-driven approaches. In this paper, we first propose a taxonomy of significant events, including usual operations such as take-off, Instrument Landing System (ILS) landing and holding, as well as less usual operations like firefighting, in-flight refuelling and navigational calibration. Then, we introduce different rule-based and statistical methods for detecting a selection of these events. The goal is to compare candidate methods and to determine which of the approaches performs better in each situation.
Keywords: aircraft trajectories; pattern detection; anomaly detection; ADS-B aircraft trajectories; pattern detection; anomaly detection; ADS-B
MDPI and ACS Style

Olive, X.; Sun, J.; Lafage, A.; Basora, L. Detecting Events in Aircraft Trajectories: Rule-Based and Data-Driven Approaches. Proceedings 2020, 59, 8. https://doi.org/10.3390/proceedings2020059008

AMA Style

Olive X, Sun J, Lafage A, Basora L. Detecting Events in Aircraft Trajectories: Rule-Based and Data-Driven Approaches. Proceedings. 2020; 59(1):8. https://doi.org/10.3390/proceedings2020059008

Chicago/Turabian Style

Olive, Xavier; Sun, Junzi; Lafage, Adrien; Basora, Luis. 2020. "Detecting Events in Aircraft Trajectories: Rule-Based and Data-Driven Approaches" Proceedings 59, no. 1: 8. https://doi.org/10.3390/proceedings2020059008

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