Browse > Article
http://dx.doi.org/10.12673/jant.2021.25.6.498

Comparative Analysis of Runway Ultimate Capacity using Wake Turbulence Re-Categorization  

Jeongwoo Park (Department of Air Transportation and Logistics, Hanseo University)
Huiyang Kim (School of Air Transport and Logistics, Korea Aerospace University)
SungKwan Ku (Department of Aviation Industrial & System Engineering, Hanseo University)
Abstract
The wake turbulence at the wingtip of preceding aircraft may affect the normal operation of following aircraft. Aircraft are classified into four categories according to their maximum take-off weight, and horizontal separation is applied with this category matrix. The FAA and EUROCONTROL revealed that the magnitude and effect of preceding aircraft wake turbulence were smaller than the current distance separation minima suggest. This new information presents the opportunity for revising wake turbulence minima into seven categories (RECAT). This paper confirms the feasibility of implementing RECAT at major airports in South Korea using the draft of ICAO Doc. 10122. The paper also calculates the ultimate runway capacity of Incheon International Airport in South Korea using the Harris Model and comparatively analyzes the amount of runway capacity. As a result of the analysis, it was confirmed that the implementation of RECAT could increase the ultimate runway capacity of Incheon International Airport. This paper's calculation methods and results can be used as primary data for implementing RECAT in other airports.
Keywords
Analytical Capacity Models; Aviation System Block Upgrade; RECAT; Runway Capacity; Wake Turbulence;
Citations & Related Records
연도 인용수 순위
  • Reference
1 International Civil Aviation Organization. The World of Air Transport in 2019 [Internet]. Available: https://www.icao.int/annual-report-2019/Pages/the-world-ofair-transport-in-2019.aspx.
2 FAA AC90-23G, Aircraft Wake Turbulence, Federal Aviation Administration, Feb. 2014.
3 ICAO Doc. 4444 Amendment 9, Air Traffic Management, International Civil Aviation Organization, Nov. 2020.
4 ICAO Aviation System Blok Upgrade, International Civil Aviation Organization, Jul. 2016.
5 ICAO GANP 6th Edition, Global Air Navigation Plan, International Civil Aviation Organization, 2019.
6 J. Roa, A. Trani, J. Hu, and N.Mirmohammadsadeghi, "Simulation of Runway Operations with Application of Dynamic Wake Separations to Study Runway Limitations," Journal of the Transportation Research Board, Vol. 2674, Issue. 12, pp. 199-211, Oct. 2020.
7 International Civil Aviation Organization. WAKE TURBULENCE RE-CATEGORISATION (RECAT) [Internet]. Available: https://www.icao.int/APAC/Meetings/Pages/2021-RECATWebinar.aspx.
8 NextGen - SESAR State of Harmonisation Third Edition, SESAR Joint Undertaking, p17-18, 2018.
9 FAA AC150/5060-5, Airport Capacity and Delay, Federal Aviation Administration, 1983.
10 H. Lee, and D. Kim, "A Comparative Study on Delay Calculation Method of Airport Capacity," Journal of the Korean Society for Aeronautical Science and Flight operation, Vol. 28, No. 2, pp. 47-52, Jun. 2020.   DOI
11 Evaluating Airfield Capacity, Transportation Research Board, ACRP Report 79, 2012.
12 Volpe National Transportation Systems Center. Wake Turbulence Separation Standards for Aircraft [Internet]. Available: https://www.volpe.dot.gov/infographic-wake-turbulence-separation-standards-aircraft.
13 FAA JO 7110.659C, Wake Turbulence Recategorization, Federal Aviation Administration, 2016.
14 N. Coleman, D. Knorr, and A. Ramadani, "Statistical Model to Estimate the Benefit of Wake Turbulence Re-categorization," Thirteenth USA/Europe Air Traffic Management Research and Development Seminar (ATM2019), Vienna, Austria, 2019.
15 FAA JO 7110.126A, Consolidated Wake Turbulence (CWT) Separation Standards, Federal Aviation Administration, 2019.
16 EUROCONTROL Driving airport capacity, predictability and efficiency, European Organisation for the Safety of Air Navigation, 2019.
17 FAA REDAC/NAS Ops, Wake Turbulence Re-Categorization (RECAT) Review of FY 2021 - 2023 Proposed Portfolio, Federal Aviation Administration, Mar. 2021.
18 DSNA A FINE-TUNED WAKE VORTEX RECATEGORISATION AT PARIS-CDG & LE BOURGET AIRPORTS TO OPTIMISE SEQUENCING ON ARRIVAL, Direction des Services de la Navigation aerienne, 2018.
19 EUROCONTROL. Leading Optimised Runway Delivery [Internet]. Available: https://www.sesarju.eu.
20 EUROCONTROL Network Operations Report 2020, European Organisation for the Safety of Air Navigation, pp.33, Nov. 2020.
21 S. Park (2021, September). RECAT Implementation Status in the Republic of Korea [Internet]. Available: https://www.icao.int/APAC/Meetings/Pages/2021-RECAT-Webinar.aspx.
22 Y. Marutsuka (2021, September). RECAT Implementation in Japan [Internet]. Available: https://www.icao.int/APAC/Meetings/Pages/2021-RECAT-Webinar.aspx.
23 R. M. Harris, Models for Runway Capacity Analysis, MITRE Corporation, Report No. FAA-EM-73-5, 1972
24 R. M. Horonjeff, F. X. McKelvey, W. J. Sproule, and S. B. Young, Planning and Design of Airports Fifth Edition, McGraw Hill, pp. 497-514, 2010
25 Air Transportation Systems Laboratory, Runway Exit Design Interactive Model[Internet]. Available: https://atsl.cee.vt.edu/products/runway-exit-design-intetive-model--redim-.html.