Predicting Flight Departure Delay at Porto Airport: A Preliminary Study

Hugo Alonso, António Loureiro

Abstract

Managing an airport is very complex. Decisions are often based on common sense and influence several variables, such as flight delay. This paper considers the problem of predicting flight departure delay at Porto Airport. As far as we know, this the first study on the subject. The problem is treated as an ordinal classification task and a suitable approach, based on the so-called unimodal model, is used to predict the delay. The unimodal model is implemented using neural networks and, for comparison purposes, also using trees.

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Paper Citation


in Harvard Style

Alonso H. and Loureiro A. (2015). Predicting Flight Departure Delay at Porto Airport: A Preliminary Study . In Proceedings of the 7th International Joint Conference on Computational Intelligence - Volume 3: NCTA, (ECTA 2015) ISBN 978-989-758-157-1, pages 93-98. DOI: 10.5220/0005587700930098


in Bibtex Style

@conference{ncta15,
author={Hugo Alonso and António Loureiro},
title={Predicting Flight Departure Delay at Porto Airport: A Preliminary Study},
booktitle={Proceedings of the 7th International Joint Conference on Computational Intelligence - Volume 3: NCTA, (ECTA 2015)},
year={2015},
pages={93-98},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005587700930098},
isbn={978-989-758-157-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 7th International Joint Conference on Computational Intelligence - Volume 3: NCTA, (ECTA 2015)
TI - Predicting Flight Departure Delay at Porto Airport: A Preliminary Study
SN - 978-989-758-157-1
AU - Alonso H.
AU - Loureiro A.
PY - 2015
SP - 93
EP - 98
DO - 10.5220/0005587700930098