FLIGHT DELAY PREDICTION BASED WITH MACHINE LEARNING

Hatipoglu I., TOSUN Ö., Tosun N.

LOGFORUM, cilt.18, sa.1, ss.96-107, 2022 (ESCI) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 18 Sayı: 1
  • Basım Tarihi: 2022
  • Doi Numarası: 10.17270/j.log.2022.655
  • Dergi Adı: LOGFORUM
  • Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI), Scopus
  • Sayfa Sayıları: ss.96-107
  • Anahtar Kelimeler: GBDT, XGBoost, LightGBM, Catboost, delay prediction
  • Akdeniz Üniversitesi Adresli: Evet

Özet

Background: The delay of a planned flight causes many undesirable situations such as cost, customer satisfaction, environmental pollution. There is only one way to prevent these problems before they occur, and that is to know which flights will be delayed. The aim of this study is to predict delayed flights. For this, the use of machine learning techniques, which have become widespread with the development of computer capacities and data storage systems, is preferred.