Anticipating a regime change in the daily share of delayed and canceledflights at são paulo/guarulhos international airport

Authors

  • Rosana Batista Teixeira Instituto Tecnológico de Aeronáutica, São Paulo, Brasil
  • Rodrigo Arnaldo Scarpel Instituto Tecnológico de Aeronáutica, São Paulo, Brasil

DOI:

https://doi.org/10.14295/transportes.v29i1.2236

Keywords:

Change Point Detection, Hidden Markov Models, Classification Models, Flight delays

Abstract

Flight delays and cancellations are frequent occurrences at most airports around the world.  In Brazil, the liberalization of air transport has caused flight concentration at some airports, increasing the occurrence of delays and cancellations due to congestion. In Brazil, São Paulo/Guarulhos International Airport is one of the most affected by delays. The objective of this work is to anticipate the occurrence of congested days at São Paulo/Guarulhos International Airport. The accuracy of the prediction model in anticipating the regime change in the daily share of delayed and cancelled flights one period ahead was considered satisfactory.

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Published

2021-04-30

How to Cite

Teixeira, R. B., & Scarpel, R. A. (2021). Anticipating a regime change in the daily share of delayed and canceledflights at são paulo/guarulhos international airport. Transportes, 29(1), 117–131. https://doi.org/10.14295/transportes.v29i1.2236

Issue

Vol. 29 No. 1 (2021)

Section

Articles

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Copyright (c) 2021 Rosana Batista Teixeira

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