DEMAND FORECASTING OF 3. ISTANBUL GRAND AIRPORT VIA ARTIFICIAL NEURAL NETWORKS AND ADAPTIVE NEURO FUZZY INFERENCE SYSTEMS FOR OPTIMIZATION OF DOMESTIC AIRCRAFT FLEET OF TURKISH AIRLINES
Journal Title: Endüstri Mühendisliği - Year 2019, Vol 30, Issue 2
Abstract
The aim of this study is to estimate the passenger and freight demand of the 3rd Istanbul Airport, which was built as a substitute for the Istanbul Ataturk Airport with Artificial Neural Network (ANN) and Adaptive Neuro Fuzzy Inference System (ANFIS) methods and to plan the possible aircraft fleet using financial and physical constraints by considering scenarios in order to be able to carry out the anticipated operation volume using the past period data of Istanbul Ataturk Airport. The data of the study were compiled by the Turkish Statistical Institute (TUIK) and subjected to the normalization process. The Root Mean Square Error (RMSE) and the Sum of Square Error (SSE) were used as the error measurement method and their performances were evaluated. The findings of the study include important information about the airport's ability to respond to possible demand and the airport's performance characteristics, estimated passenger and cargo values for the coming years.
Authors and Affiliations
Metehan ATAY, Yunus EROĞLU, Serap Ulusam SEÇKİNER
Keywords
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