Searched for: subject%3A%22Probabilistic%255C+Prediction%22
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document
Zoutendijk, M. (author)
The aerospace industry annually provides transport for billions of passengers along trillions of kilometers. The industry is continuously aiming to provide these services in a more efficient and sustainable way. One possibility is to consider improving airside airport operations, both current types and those expected in the near future....
doctoral thesis 2024
document
Vorage, Laurence (author)
To ensure continuous operations at airports, operational schedules need to be able to cope with early and late arriving/departing flights. To optimize such schedules for these events, flight delay predictions are necessary. Till now, flight delay has been studied mainly from a binary and regression standpoint. These type of predictions lack a...
master thesis 2021
document
Zoutendijk, M. (author), Mitici, M.A. (author)
The problem of flight delay prediction is approached most often by predicting a delay class or value. However, the aviation industry can benefit greatly from probabilistic delay predictions on an individual flight basis, as these give insight into the uncertainty of the delay predictions. Therefore, in this study, two probabilistic forecasting...
journal article 2021
document
Hanea, A.M. (author), Nane, G.F. (author)
Expert judgement is routinely required to inform critically important decisions. While expert judgement can be remarkably useful when data are absent, it can be easily influenced by contextual biases which can lead to poor judgements and subsequently poor decisions. Structured elicitation protocols aim to: (1) guard against biases and provide...
journal article 2019
Searched for: subject%3A%22Probabilistic%255C+Prediction%22
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