Assessing strategic flight schedules at an airport using machine learning-based flight delay and cancellation predictions

Assessing strategic flight schedules at an airport using machine learning-based flight delay and cancellation predictions

Lambelho, Miguel (Student TU Delft)
Mitici, M.A. (TU Delft Air Transport & Operations)
Pickup, Simon (London Heathrow Airport)
Marsden, Alan (EUROCONTROL)

2020

To mitigate air traffic demand-capacity imbalances, large European airports implement strategic flight schedules, where flights are assigned arrival/departure slots several months prior to execution. We propose a generic assessment of such strategic schedules using predictions about arrival/departure flight delays and cancellations. We demonstrate our approach for strategic flight schedules in the period 2013–2018 at London Heathrow Airport. Together with the development of dedicated strategic flight schedule optimization models, our proposed approach supports an integrated strategic flight schedule assessment, where schedules are evaluated with respect to flight delays and cancellations.

Cancellation prediction
Delay prediction
Machine learning
Schedule ranking
strategic flight schedule

http://resolver.tudelft.nl/uuid:dc735bd9-3365-456e-969a-0cf5b24aff28

https://doi.org/10.1016/j.jairtraman.2019.101737

2021-11-06

0969-6997

Journal of Air Transport Management, 82

Institutional Repository

journal article

© 2020 Miguel Lambelho, M.A. Mitici, Simon Pickup, Alan Marsden