Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/14916
Title: Predicting flight departure delay at Porto Airport: a preliminary study
Author: Alonso, Hugo
Loureiro, António
Keywords: Flight delay prediction
Ordinal classification
Unimodal model
Neural networks
Trees
Issue Date: 2015
Publisher: SCITEPRESS – Science and Technology Publications
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.
Peer review: yes
URI: http://hdl.handle.net/10773/14916
ISBN: 978-989-758-157-1
Publisher Version: http://www.ijcci.org/?y=2015
Appears in Collections:CIDMA - Comunicações
SCG - Comunicações

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