Modelling the Impact of Adverse Weather on Airport Peak Service Rate with Machine Learning
Ramon Dalmau,
Jonathan Attia,
Gilles Gawinowski
Abstract:Accurate prediction of traffic demand and airport capacity plays a crucial role in minimising ground delays and airborne holdings. This paper focuses on the latter aspect. Adverse weather conditions present significant challenges to airport operations and can substantially reduce capacity. Consequently, any predictive model, regardless of its complexity, should account for weather conditions when estimating the airport capacity. At present, the sole shared platform for airport capacity information in Europe is… Show more
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