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