Prediction of flight departure delays caused by weather conditions adopting data-driven approaches

Prediction of flight departure delays caused by weather conditions adopting data-driven approaches

Abstract In this study, we utilize data-driven approaches to predict flight departure delays. The growing demand for air travel is outpacing the capacity and infrastructure available to support it. In addition, abnormal weather patterns caused by climate change contribute to the frequent occurrence...

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Bibliographic Details
Main Authors: Seongeun Kim, Eunil Park
Format: Article
Language:English
Published: SpringerOpen 2024-01-01
Series:Journal of Big Data
Subjects:
Flight delay
Delay prediction weather
Machine learning
LSTM
Online Access:https://doi.org/10.1186/s40537-023-00867-5

Internet

https://doi.org/10.1186/s40537-023-00867-5

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