Machine-Learning Methods Estimating Flights’ Hidden Parameters for the Prediction of KPIs

Machine-Learning Methods Estimating Flights’ Hidden Parameters for the Prediction of KPIs

Complex microscopic simulation models of strategic Air Traffic Management (ATM) performance assessment and decision-making are hindered by several factors. One of the most important is the existence of hidden parameters—such as aircraft take-off weight (TOW) and the selected cost index (CI)—which, i...

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Bibliographic Details
Main Authors: George Vouros, Ioannis Ioannidis, Georgios Santipantakis, Theodore Tranos, Konstantinos Blekas, Marc Melgosa, Xavier Prats
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Aerospace
Subjects:
prediction
hidden parameters
KPIs
take-off weight
cost index
deep learning
Online Access:https://www.mdpi.com/2226-4310/11/11/937
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