Anticipating a regime change in the daily share of delayed and canceledflights at são paulo/guarulhos international airport
DOI:
https://doi.org/10.14295/transportes.v29i1.2236Keywords:
Change Point Detection, Hidden Markov Models, Classification Models, Flight delaysAbstract
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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