Combining Machine Learning Models to Improve Estimated Time of Arrival Predictions

All aviation stakeholders require accurate estimated times of arrival in order to run flight operations as efficiently as possible. The time of arrival, however, is difficult to predict because it is affected by the uncertainties of the previous flight phases, with take-off time variability being t...

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Bibliographic Details
Main Authors: Ramon Dalmau, Aymeric Trzmiel, Stephen Kirby
Format: Article
Language:English
Published: TU Delft OPEN Publishing 2025-01-01
Series:European Journal of Transport and Infrastructure Research
Subjects:
Online Access:https://journals.open.tudelft.nl/ejtir/article/view/7488
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