Machine Learning and Mass Estimation Methods for Ground-Based Aircraft Climb Prediction

In this paper, we apply machine learning methods to improve the aircraft climb prediction in the context of ground-based applications. Mass is a key parameter for climb prediction. As it is considered a competitive parameter by many airlines, it is currently not available to ground-based trajectory...

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Veröffentlicht in:	IEEE transactions on intelligent transportation systems 2015-12, Vol.16 (6), p.3138-3149
Hauptverfasser:	Alligier, Richard, Gianazza, David, Durand, Nicolas
Format:	Artikel
Sprache:	eng
Schlagworte:	Aircraft Aircraft trajectory prediction base of aircraft data (BADA) Computer Science Estimating techniques Machine Learning mass estimation Methods Predictive models Trajectory
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