Journals / Anadolu Üniversitesi Bilim ve Teknoloji Dergisi :A-Uygulamalı Bilimler ve Mühendislik / 2018 / Cilt: 19 - Sayı: 1

AIRSIDE CAPACITY ANALYSIS AND EVALUATION OF İSTANBUL ATATÜRK AIRPORT USING FAST-TIME SIMULATIONS

Pages
153–164
Publication Date
2022-10-11
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The results show that end-around taxiways can decrease departure taxi times up to 52% and rapid-exittaxiways reduce arrival runway occupancy time by 10.6%.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The demand for air transportation increases rapidly each year and introduces serious problems such as system-wide delaysand congestions in air traffic operations.
📊
Key Findings & Data:The results show that end-around taxiways can decrease departure taxi times up to 52% and rapid-exittaxiways reduce arrival runway occupancy time by 10.6%.
💡
Conclusion & Impact:Besides, implementations of end-around taxiways can improverunway capacity especially when the airport experiences intense arriving traffic while rapid-exit taxiways improves runwayutilization for arrivals.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

The demand for air transportation increases rapidly each year and introduces serious problems such as system-wide delaysand congestions in air traffic operations. Airports, one of the most critical points of the air transportation system, are affectedmost by these problems. One of the most effective approach to reduce delays and congestions is to improve existing airsidecapacity of airports through the enhancement of taxiway network around runways. This study investigates the impacts ofvarious rapid-exit and end-around taxiway combinations on capacity and delays for İstanbul Atatürk Airport. Four differentrunway configurations are analyzed using fast-time simulations for the existing (baseline) and improved (alternative) taxiwaynetwork of the airport. The results show that end-around taxiways can decrease departure taxi times up to 52% and rapid-exittaxiways reduce arrival runway occupancy time by 10.6%. Besides, implementations of end-around taxiways can improverunway capacity especially when the airport experiences intense arriving traffic while rapid-exit taxiways improves runwayutilization for arrivals.

🔖

Cite This Article

ÇETEK, C., USANMAZ, Ö., ÖZDEMIR, M. (2022). AIRSIDE CAPACITY ANALYSIS AND EVALUATION OF İSTANBUL ATATÜRK AIRPORT USING FAST-TIME SIMULATIONS. Anadolu Üniversitesi Bilim ve Teknoloji Dergisi :A-Uygulamalı Bilimler ve Mühendislik, Cilt: 19 - Sayı: 1, 153–164. https://ajindex.com/articles/438211

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (15)

  1. NUIC A. User Manual for the Base of Aircraft Data (BADA). Revision 3.5, Eurocontrol Experimental Centre, ECC Note No. 11/03, Brétigny-sur-Orge Cedex, 2003. Aeronautical Information Publication (IAP). Ataturk airport preferential runway system operations. (Accessed in 26.04.2017), (http://ssd.dhmi.gov.tr/ANSLogin.aspx?mn=41).
  2. Cetek C, Cinar E, Aybek F, Cavcar A. Capacity and delay analysis for airport manoeuvring areas using simulation. Aircraft Engineering and Aerospace Technology 2014; 86:43-55.
  3. Mota MM, Scala P, Boosten G. Simulation based capacity analysis for a future airport. In: 2014 Asia-Pacific Conference on Computer Aided System Engineering (APCASE); 10-12 February 2014;
  4. South kuta, Indonesia: IEEE. pp. 97-101. Federal Aviation Administration (FAA). Airport Design Advisory Circular AC 150/5300-13A, Washington, DC: FAA, 2012.
  5. Le T, Marais K. Optimization of EAT for efficient operations and environmental benefits. In: Aviation Technology, Integration, and Operations Conference; August 12-14 2013;
  6. Los Angeles, CA: AIAA. pp. 1-15.
  7. Uday P, Burder D, Marais KB. Environmental benefits of EAT operations. In 11th AIAA aviation technology, integration, and operations (ATIO) conference; 20-22 September 2011;
  8. Virginia Beach, VA: AIAA. pp. 1-18.
  9. Engelland SA, Ruszkowski LM. Analysis of DFW perimeter taxiway operations. In: 10th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference; 13-15 September 2010;
  10. Fort Worth, Texas: AIAA. pp. 1-14.
  11. Jadhav A, Neogi N, Thaden T. Impact of critical hub airport configuration in the next generation air transportation system. In: Digital Avionics Systems Conference; October 25-29 2009; IEEE. pp. 2.A.3-1-2.A.3-14.
  12. Ciftci ME, Sevkli M. A new hub and spoke system proposal: A case study for Turkey's aviation industry. Journal of Air Transport Management 2015; 47: 190-198. European Organization for the Safety of Air Navigation (EUROCONTROL). Network Monthly Operations Report. Brussels, Belgium: EUROCONTROL, 2016. General Directorate of State Airports Authority (DHMI). İstatistikler. (Accessed in 19.02.2016 (http://www.dhmi.gov.tr/istatistik.aspx).
  13. Lee H, Balakrishnan H. Fast-time simulations of detroit airport operations for evaluating performance in the presence of uncertainties. In: 2012 IEEE/AIAA 31st Digital Avionics Systems Conference (DASC); 14-18 October 2012;
  14. Williamsburg, VA: IEEE. pp. 1-13.
  15. Simaiakis I, Balakrishnan H. Impact of congestion on taxi times, fuel burn, and emissions at major airports. Transp