Araştırma Makalesi

A stochastic sequence planning model for the runways with multiple exits

Cilt: 5 Sayı: 2 29 Ekim 2022
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A stochastic sequence planning model for the runways with multiple exits

Öz

The runway exit points (REPs) of the airport are constructed considering the operational performance of different types of aircraft based on historical flight data. In sequence planning, it is assumed that aircraft will vacate the runway from an expected exit point. However, real performance can be uncertain, and the same type of aircraft may vacate the runway from different exit points rather than the expected point. In addition, the runway occupancy times (ROTs) of aircraft that vacate the runway from the same exit point may not be equal. This situation brings two types of uncertainty when making traffic plans in an airport with several REPs. The first uncertainty is the REP of the aircraft, and the second is the ROT uncertainty considering the exit points. In this study, a two-stage stochastic programming model was developed for aircraft sequencing in an airport that has multiple runway exit points. In the model, both runway exit and ROT uncertainties are considered. A runway with multiple exit points at an airport in Turkey was selected and flight track data of 154 arrival flights to this runway was examined. Various expected time of arrival and departure (ETAD) scenarios were generated based on real data and integrated into the mathematical models. The proposed model was then compared with deterministic and first come first serve (FCFS) approaches in terms of total delay. As a result of the comparison and analyses, the presented stochastic programming model provided robust solutions and delay savings compared to the other approaches.

Anahtar Kelimeler

Kaynakça

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  5. Dai, L., & Hansen, M. (2020). Real-Time Prediction of Runway Occupancy Buffers. 2020 International Conference on Artificial Intelligence and Data Analytics for Air Transportation (AIDA-AT), 1–11. https://doi.org/10.1109/AIDA-AT48540.2020.9049165
  6. Dönmez, K., Çetek, C., & Kaya, O. (2021). Aircraft Sequencing and Scheduling in Parallel-Point Merge Systems for Multiple Parallel Runways. Transportation Research Record: Journal of the Transportation Research Board, 036119812110494. https://doi.org/10.1177/03611981211049410
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Ayrıntılar

Birincil Dil

İngilizce

Konular

Mühendislik

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

29 Ekim 2022

Gönderilme Tarihi

30 Haziran 2022

Kabul Tarihi

29 Eylül 2022

Yayımlandığı Sayı

Yıl 2022 Cilt: 5 Sayı: 2

Kaynak Göster

APA
Dönmez, K. (2022). A stochastic sequence planning model for the runways with multiple exits. Akıllı Ulaşım Sistemleri ve Uygulamaları Dergisi, 5(2), 89-101. https://doi.org/10.51513/jitsa.1138520
AMA
1.Dönmez K. A stochastic sequence planning model for the runways with multiple exits. Jitsa. 2022;5(2):89-101. doi:10.51513/jitsa.1138520
Chicago
Dönmez, Kadir. 2022. “A stochastic sequence planning model for the runways with multiple exits”. Akıllı Ulaşım Sistemleri ve Uygulamaları Dergisi 5 (2): 89-101. https://doi.org/10.51513/jitsa.1138520.
EndNote
Dönmez K (01 Ekim 2022) A stochastic sequence planning model for the runways with multiple exits. Akıllı Ulaşım Sistemleri ve Uygulamaları Dergisi 5 2 89–101.
IEEE
[1]K. Dönmez, “A stochastic sequence planning model for the runways with multiple exits”, Jitsa, c. 5, sy 2, ss. 89–101, Eki. 2022, doi: 10.51513/jitsa.1138520.
ISNAD
Dönmez, Kadir. “A stochastic sequence planning model for the runways with multiple exits”. Akıllı Ulaşım Sistemleri ve Uygulamaları Dergisi 5/2 (01 Ekim 2022): 89-101. https://doi.org/10.51513/jitsa.1138520.
JAMA
1.Dönmez K. A stochastic sequence planning model for the runways with multiple exits. Jitsa. 2022;5:89–101.
MLA
Dönmez, Kadir. “A stochastic sequence planning model for the runways with multiple exits”. Akıllı Ulaşım Sistemleri ve Uygulamaları Dergisi, c. 5, sy 2, Ekim 2022, ss. 89-101, doi:10.51513/jitsa.1138520.
Vancouver
1.Kadir Dönmez. A stochastic sequence planning model for the runways with multiple exits. Jitsa. 01 Ekim 2022;5(2):89-101. doi:10.51513/jitsa.1138520

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