Analysis of Istanbul Airport's Multiple Parallel Runway Configurations in Terms of Time and Fuel Consumption

Author:

GÜVEN Ayşe1,AYBEK ÇETEK Fulya2

Affiliation:

1. T.C. Ulaştırma ve Altyapı Bakanlığı Devlet Hava Meydanları İşletmesi Genel Müdürlüğü

2. ESKİŞEHİR TEKNİK ÜNİVERSİTESİ

Abstract

The need for airports is increasing day by day with growing air traffic demand. In order to meet this need, while examining how the existing airports can be used more effectively, new runways or airports are built in cities with a demand above their capacity. In recent years, newly built airports are designed to meet the intense demand that will occur in the future by using multiple parallel runway systems. There are many studies that show that runway configurations have a large impact on capacity in multiple parallel runway systems. In this study, the runway configurations of Istanbul Airport, which ranks first in the list of the busiest airports in 2021 according to the Airports Council International (ACI) data, which was opened in 2018 from the perspective of the airline companies, are evaluated in terms of time and fuel from the perspective of the airline operator. In the study, the runway configurations were examined by evaluating the landing runway, aircraft type and taxi times information of the traffic landing at Istanbul Airport. As a result of the study, runway configurations that provide minimum taxi time and fuel consumption were determined

Publisher

Trafik ve Ulasim Arastirmalari Dergisi

Subject

General Medicine

Reference12 articles.

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2. Ahmed, M. S. (2018). Maximising runway capacity by mid-term prediction of runway configuration and aircraft sequencing using machine learning (Yayımlanmamış doktora tezi). University of New South Wales, Sydney, Australia.

3. Ahmed, M. S., Alam, S. ve Barlow, M. (2018). A cooperative co-evolutionary optimisation model for best-fit aircraft sequence and feasible runway configuration in a multi-runway airport. Aerospace, 5(3), 85.

4. Delsen, J. G. (2016). Flexible arrival & departure runway allocation using mixed-integer linear programming: A Schiphol Airport case study (Yayımlanmamış doktora tezi). Delft University of Technology, Delft, Netherlands.

5. Devlet Hava Meydanları İşletmesi, DHMİ. (2021, Kasım). Aeronautical Information Publication (AIP), Havacılık Bilgi Yayını. Ankara, Türkiye.

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