Characterization of Air Traffic Performance in Terminal Airspace with Point Merge at São Paulo/Guarulhos International Airport
Keywords:
Air traffic management, Terminal area operations, Sequencing methods, Trajectory analysis, Data analysisAbstract
Advancing Air Traffic Management with the implementation of novel airspace structures, systems and procedures is crucial to enhancing the economic and environmental performance of aviation. This requires a solid understanding of operational performance through advanced data analysis. In this paper, large-scale historical aircraft tracking data and aeronautical information data are used to characterize the performance of terminal area operations at São Paulo/Guarulhos International Airport (SBGR) after the most recent airspace redesign, known as TMA-SP Neo. A key aspect of the TMA-SP Neo project was redesigning the SBGR arrival procedures with a Point Merge (PM) system, an innovative operational concept for terminal area traffic management. A trajectory classification approach is developed to identify the use of arrival procedures and several performance indicators are proposed to evaluate the actual utilization of the terminal airspace structure with PM and to quantify trajectory efficiency and conformance. The results reveal an uneven distribution of air traffic across arrival gates and types of procedures and a significant utilization of the novel PM structure for delay absorption during the sequencing process. The findings also highlight air traffic control preferences and opportunities for further improvements in delay management.
References
[DECEA] Departamento de Controle do Espaço Aéreo (2021) São Paulo TMA Redesign – Project TMA-SP Neo [accessed Jun 2024). https:// publicacoes.decea.mil.br/publicacao/aic-n-1621
[DECEA] Departamento de Controle do Espaço Aéreo (2024) Aeronautical information data [accessed Jun 2024). https://aisweb.decea.mil.br/[ICAO] International Civil Aviation Organization (2019) Global Air Navigation Plan (Doc 9750, 6th Edition) [accessed Jun 2024). https://www4.icao.int/ganpportal/
[ICAO] International Civil Aviation Organization (2024) Global Air Navigation Plan – Key performance indicators (KPI) [accessed Jun 2024). https: //www4.icao.int/ganpportal/ASBU/KPI
Babinski PBO, Guterres MX, Albano CS (2024) Proposal of a matrix to measure the perceived level of safety in a terminal control area. J Air Transp Manag 16:e2624. https://doi.org/10.1590/jatm.v16.1346 EUROCONTROL (2021) Point Merge implementation: a quick guide [accessed Jun xx 2024). https://www.eurocontrol.int/ publication/point-merge-implementation
Flightradar24 (2024) Flight tracking service [Internet]. Stockholm: Flightradar24 AB; c2007-2024 [accessed Jun 2024). https://www.flightradar24.com/
Gulding J, Knorr D, Rose M, Chen X, Enaud P, Hegendoerfer H (2010) US/Europe comparison of ATM related operational performance. Air Traffic Control Q 18(1):5-27. https://doi.org/10.2514/atcq.18.1.5
Hardell H, Lemetti A, Polishchuk T, Smetanova L (2023a) Performance characterization of arrival operations with Point Merge at Oslo Gardermoen Airport. Paper presented 2023 15th USA/Europe Air Traffic Management Research and Development Seminar. Federal Aviation Administration; Savannah, USA. https://www.atrdsymposium.org/past-seminars/15th-seminar/papers-and-presentations/
Hardell H, Polishchuk T, Smetanova L (2023b) Investigation of Point Merge utilization worldwide using Opensky Network data. J Open Aviat Sci 1(2). https://doi.org/10.59490/joas.2025.7729
Lemetti A, Polishchuk T, Saez R, Prats X (2019) Evaluation of flight efficiency for Stockholm Arlanda Airport arrivals. Paper presented 2019 IEEE/AIAA 38th Digital Avionics Systems Conference. IEEE/AIAA; San Diego, USA. https://doi.org/10.1109/DASC43569.2019.9081751
Leones JL, Polaina Morales M, D’Alto L, Escalonilla PS, Ferrer Herrer D, Bravo MS, Camara FC, Martínez Mateo M, Namee BM, Wang S, et al. (2018) Advanced flight efficiency key performance indicators to support air traffic analytics: assessment of European flight efficiency using ADS-B data. Paper presented 2018 IEEE/AIAA 37th Digital Avionics Systems Conference. IEEE/AIAA; London, UK. http://doi.org/10.1109/DASC.2018.8569584
Murça MCR, Hansman RJ, Li L, Ren P (2018) Flight trajectory data analytics for characterization of air traffic flows: a comparative analysis of terminal area operations between New York, Hong Kong and São Paulo. Transp Res Part C Emerg Technol 97:324-347. https://doi.org/10.1016/j.trc.2018.10.021
Mutlu AA (2021) The evaluation of Istanbul airspace design from the perspective of complexity and safety. J Air Transp Manag 97:102137. https://doi.org/10.1016/j.jairtraman.2021.102137
Pasutto P, Zeghal K, Hoffman EG (2020) Vertical efficiency in descent: assessing the potential for improvements at the top 30 European airports. Paper presented 2020 AIAA Aviation 2020 Forum. AIAA; virtual congress. https://arc.aiaa.org/doi/10.2514/6.2020-2893
Polishchuk T, Smetanova L (2023) New insight towards characterization of the terminal areas. Paper presented 2023 AIAA Aviation 2023 Forum. AIAA; San Diego, USA. https://arc.aiaa.org/doi/10.2514/6.2023-3971
Sampaio FCG, Costa Filho RN, Guterres MX (2022) Modeling resilience of air traffic management systems based on complex networks, J Air Transp Manag 14:e2222. https://doi.org/10.1590/jatm.v14.1273
Zanin M (2020) Assessing airport landing efficiency through large-scale flight data analysis. IEEE Access 8-170519-170528. https://doi.org/10.1109/ACCESS.2020.3022160
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Gabriel Lessa de Araújo, Mayara Condé Rocha Murça, Mauro Caetano, Evandro José da Silva

This work is licensed under a Creative Commons Attribution 4.0 International License.
This work is licensed under a Creative Commons — Attribution 4.0 International — CC BY 4.0. Authors are free to Share (copy and redistribute the material in any medium or format) and Adapt (remix, transform, and build upon the material for any purpose, even commercially). JATM allow the authors to retain publishing rights without restrictions.








