Mustafa ÖZDEMİR, Cem ÇETEK, Öznur USANMAZ

Airside Capacity Analysis and Evaluation of Istanbul Ataturk Airport Using Fast-Time Simulations

ABSTRACT The role of air transport in transportation system is increasing every year. However, there can be difficulties to meet this increase. Therefore, efforts to resolve the problems in air transport become important. Delays and congestions are seen in the air transport system are among these problems. Airports are one of the most critical points of air transportation system facing these problems. One of the measures to be taken to resolve this problem is improving the existing system. Istanbul Ataturk Airport, the busiest airport in Turkey, often experiences delay and congestion problems. To propose a solution to these problems and to reduce runway occupancy time in Istanbul Ataturk Airport, additional fast-exit taxiways to the runway 05 were constructed. In this study, the impact of infrastructure changes made in Istanbul Ataturk Airport is examined, and traffic flow and capacity analysis is carried out comparing three different runway configurations. In consequence of the construction of additional fast-exit taxiways to the runway 05, airport capacity has increased 1.9 per cent. It is also shown that the high average delay time reduces airport capacity.

Keywords:

Air Traffic Flow and Capacity Management, Fast-time Simulation,

PDF

___

Janic M. Air Transport System Analysis and Modelling: Capacity, Quality of Services and Economics. The Netherlands: Gordon and Breach Science Publishers, 2000.
International Civil Aviation Organization (ICAO). Procedures for Air Navigation Services Air Traffic Management (Doc 4444). 15th ed. Montreal, Canada: ICAO, 2007.
Bazargan M, Fleming K, Subramanian P. A simulation study to investigate runway capacity using TAAM. In: Proceedings of the 2002 Winter Simulation Conference; 8-11 December 2002; San Diego, CA, USA: IEEE. pp. 1235-1243.
European Organization for the Safety of Air Navigation (EUROCONTROL). Airport Capacity Assessment Methodology. 1.1 ed. Brussels, Belgium: EUROCONTROL, 2016.
Wang C, Zhang XY, Xu XH. Simulation Study on Airfield System Capacity Analysis Using SIMMOD. In: Proceedings of the 2008 International Symposium on Computational Intelligence and Design; 17-18 October 2008; Wuhan, China, China: IEEE. pp. 87-90.
Bubalo B, Daduna JR. Airport capacity and demand calculations by simulation - the case of Berlin-Brandenburg International Airport. Economic Research and Electronic Networking 2011; 12: 161-181.
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.
Guclu OE, Cetek C. Analysis of aircraft ground traffic flow and gate utilisation using hybrid dynamic gate and taxiway assignment algorithm. The Aeronautical Journal: 2017 Published online: 09 April 2017, pp. 1-25.
Muller C, Santana ESM. Analysis of flight-operating costs and delays: The Sao Paulo terminal maneuvering area. Journal of Air Transport Management 2008; 14: 293-296.
Cetek FA, Cetek C. Simulation modelling of runway capacity for flight training airports. Aeronautical Journal 2014; 118: 143-154.
Odoni AR, Bowman J, Delahaye D, Deyst JJ, Feron E, Hansman RJ, Khan K, Kuchar JK, Pujet N, Simpson Robert W. Existing and Required Modeling Capabilities for Evaluating ATM Systems and Concepts. International Center for Air Transportation Massachusetts Institute of Technology, March 1997.
Gao W, Xu X, Diao L, Ding H. SIMMOD Based Simulation Optimization of Flight Delay Cost for Multi-airport System. In: International Conference on Intelligent Computation Technology and Automation; 20-22 October 2008; Hunan, China: IEEE. pp. 698-702.
Kleinman NL, Hill SD, Ilenda VA. SPSA/SIMMOD optimization of air traffic delay cost. In: Proceedings of the American Control Conference; 6-6 June 1997; Albuquerque, USA: IEEE. pp. 45-63.
Yang P, Gao W, Sun JQ. Capacity analysis for parallel runway through agent-based simulation. Mathematical Problems in Engineering 2013; 2013: 1-8.
Simaiakis I, Balakrishnan H. Impact of congestion on taxi times, fuel burn, and emissions at major airports. Transportation Research Record 2010; 2184: 22-30.
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; Williamsburg, VA: IEEE. pp. 1-13.
General Directorate of State Airports Authority (DHMI). İstatistikler. (Accessed in 19.02.2016), (http://www.dhmi.gov.tr/istatistik.aspx).
European Organization for the Safety of Air Navigation (EUROCONTROL). Network Monthly Operations Report. Brussels, Belgium: EUROCONTROL, 2016.
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.
Aeronautical Information Publication (IAP). Ataturk Airport Preferential Runway System Operations. (Accessed in 26.04.2017), (http://ssd.dhmi.gov.tr/ANSLogin.aspx?mn=41).
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.

Eskişehir Technical University Journal of Science and Technology A - Applied Sciences and Engineering-Cover

ISSN: 2667-4211
Yayın Aralığı: Yılda 4 Sayı
Başlangıç: 2000
Yayıncı: Eskişehir Teknik Üniversitesi

Arşiv