Yıl: 2022 Cilt: 15 Sayı: 3 Sayfa Aralığı: 239 - 249 Metin Dili: İngilizce DOI: 10.17671/gazibtd.1060646 İndeks Tarihi: 11-10-2022

Deep Learning Based Forecasting of Delay on Flights

Öz:
In this study, three different methods from machine learning and deep learning have been implemented for preventing financial and moral losses that may occur as a result of delays in flights and to take necessary precautions by predicting the flight delay in advance, which are a serious problem in the aviation industry. Deep recurrent neural network (DRNN), long-short term memory (LSTM), and random forest (RF) have been extensively tested and compared employing a real data set covering 368 airports across the world with relevancy the success rate of forecasting of delay on flights. The experimental results showed that the LSTM model had a higher success rate of 96.50% at the recall level than the others.
Anahtar Kelime: estimation deep learning machine learning aviation

Derin Öğrenme Tabanlı Havacılık Uçuş Verilerinde Gecikme Durumunun Tahmin Edilmesi

Öz:
Bu çalışmada, havacılık endüstrisinde ciddi bir sorun teşkil eden uçuşlarda yaşanan gecikmeler sonucu oluşabilecek maddi-manevi kayıpları önlemek ve uçuş gecikmesinin önceden tahmin edilerek gerekli önlemlerin alınabilmesi amacıyla makine öğrenmesi ve derin öğrenmeden oluşan üç farklı yöntem uygulanmıştır. Deep recurrent neural networks (DRNN), long-short term memory (LSTM) ve random forest (RF) yöntemleri kapsamlı bir şekilde test edilmiş ve dünya genelinde 368 havalimanını kapsayan gerçek bir veri seti kullanılarak uçuşların gecikme durumu tahmin edilmiştir. Deneysel sonuçlar, LSTM modelinin %96.50 recall değeriyle diğer modellere göre daha yüksek başarı oranına sahip olduğunu göstermiştir.
Anahtar Kelime:

Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık
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APA Ayaydın A, Akcayol M (2022). Deep Learning Based Forecasting of Delay on Flights. , 239 - 249. 10.17671/gazibtd.1060646
Chicago Ayaydın Anıl,Akcayol M. Ali Deep Learning Based Forecasting of Delay on Flights. (2022): 239 - 249. 10.17671/gazibtd.1060646
MLA Ayaydın Anıl,Akcayol M. Ali Deep Learning Based Forecasting of Delay on Flights. , 2022, ss.239 - 249. 10.17671/gazibtd.1060646
AMA Ayaydın A,Akcayol M Deep Learning Based Forecasting of Delay on Flights. . 2022; 239 - 249. 10.17671/gazibtd.1060646
Vancouver Ayaydın A,Akcayol M Deep Learning Based Forecasting of Delay on Flights. . 2022; 239 - 249. 10.17671/gazibtd.1060646
IEEE Ayaydın A,Akcayol M "Deep Learning Based Forecasting of Delay on Flights." , ss.239 - 249, 2022. 10.17671/gazibtd.1060646
ISNAD Ayaydın, Anıl - Akcayol, M. Ali. "Deep Learning Based Forecasting of Delay on Flights". (2022), 239-249. https://doi.org/10.17671/gazibtd.1060646
APA Ayaydın A, Akcayol M (2022). Deep Learning Based Forecasting of Delay on Flights. Bilişim Teknolojileri Dergisi, 15(3), 239 - 249. 10.17671/gazibtd.1060646
Chicago Ayaydın Anıl,Akcayol M. Ali Deep Learning Based Forecasting of Delay on Flights. Bilişim Teknolojileri Dergisi 15, no.3 (2022): 239 - 249. 10.17671/gazibtd.1060646
MLA Ayaydın Anıl,Akcayol M. Ali Deep Learning Based Forecasting of Delay on Flights. Bilişim Teknolojileri Dergisi, vol.15, no.3, 2022, ss.239 - 249. 10.17671/gazibtd.1060646
AMA Ayaydın A,Akcayol M Deep Learning Based Forecasting of Delay on Flights. Bilişim Teknolojileri Dergisi. 2022; 15(3): 239 - 249. 10.17671/gazibtd.1060646
Vancouver Ayaydın A,Akcayol M Deep Learning Based Forecasting of Delay on Flights. Bilişim Teknolojileri Dergisi. 2022; 15(3): 239 - 249. 10.17671/gazibtd.1060646
IEEE Ayaydın A,Akcayol M "Deep Learning Based Forecasting of Delay on Flights." Bilişim Teknolojileri Dergisi, 15, ss.239 - 249, 2022. 10.17671/gazibtd.1060646
ISNAD Ayaydın, Anıl - Akcayol, M. Ali. "Deep Learning Based Forecasting of Delay on Flights". Bilişim Teknolojileri Dergisi 15/3 (2022), 239-249. https://doi.org/10.17671/gazibtd.1060646