Causal analysis of vertical flight inefficiency during descents

Authors

DOI:

https://doi.org/10.14295/transportes.v29i4.2486

Keywords:

Air Traffic Management, Continuous Descent Operations (CDO), Vertical efficiency, Flight trajectory data, Statistical analysis

Abstract

Continuous Descent Operations (CDOs) have proven to deliver significant economic and environmental benefits. Yet, flight trajectories are often observed to deviate from optimal procedures during actual operations. Better assessing and understanding the level of trajectory adherence to reference ideal procedures is a key step towards identifying opportunities for system performance improvement. To this end, this paper presents a statistical model of flight trajectory performance and investigates causal factors for vertical inefficiency during descents. Based on historical flight tracking data, a trajectory clustering analysis is performed to learn the airspace structure and identify the trajectory pattern followed by each aircraft. Vertical inefficiency is quantified in terms of the amount of level flight during descent. A regression model is then developed to map structural and operational factors into vertical efficiency. Our case study consists of 26,040 arrival flights for the two major airports in the Sao Paulo metroplex, Congonhas (CGH) and Guarulhos (GRU). The results reveal that airspace structure and convective weather are the most important factors affecting vertical performance in the airspace analyzed.

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References

Alcabin, M.; R. Schwab; S. Cheng; K.-O. Tong and C. Soncrant. (2009) Measuring Vertical Flight Path Efficiency in the National Airspace System, 9th AIAA Aviation Technology, Integration, and Operations Conference (ATIO), American Institute of Aeronautics and Astronautics, Reston, Virigina, available at:https://doi.org/10.2514/6.2009-6959.

ASOS Network. (2019) ASOS-AWOS-METAR Data Download, Iowa Environmental Mesonet, available at: https://mesonet.agron.iastate.edu/request/download.phtml (accessed 11 May 2021).

Carmona, A.M.A.; F. Nieto and C.E. Gallego. (2020) A data-driven methodology for characterization of a terminal maneuvering area in multi-airport systems, Transportation Research Part C: Emerging Technologies, Vol. 111, available at:https://doi.org/10.1016/j.trc.2019.12.011.

CGNA. (2019) Medidas ATFM, Medidas ATFM, available at: http://portal.cgna.gov.br/ (accessed 10 May 2021).

Clarke, J.-P. (2006) Development, Design, and Flight Test Evaluation of a Continuous Descent Approach Procedure for Nighttime Operation at Louisville International Airport, available at: https://rosap.ntl.bts.gov/view/dot/28416 (accessed 10 May 2021).

Clarke, J.-Paul.; N.T. Ho; L. Ren; J.A. Brown; K.R. Elmer; K.-O. Tong and J.K. Wat. (2004) Continuous Descent Approach: Design and Flight Test for Louisville International Airport, Journal of Aircraft, Vol. 41 No. 5, available at:https://doi.org/10.2514/1.5572.

DECEA. (2012) Plano de Implementação ATM Nacional, Plano de Implementação ATM Nacional, available at: https://publicacoes.decea.mil.br/api//storage/uploads/files/4b3f7fcc-6449-4672-9f200ae0369e4389.pdf (accessed 10 May 2021).

Ester, M.; H.P. Kriegel; J. Sander and X. Xu. (1996) A density-based algorithm for discovering clusters in large spatial databases with noise, Kdd , Vol. 96 No. 34, pp. 226–231.

Gariel, M.; A.N. Srivastava and E. Feron. (2011) Trajectory Clustering and an Application to Airspace Monitoring, IEEE Transactions on Intelligent Transportation Systems, Vol. 12 No. 4, available at: https://doi.org/10.1109/TITS.2011.2160628.

Grömping, U. (2007) Estimators of Relative Importance in Linear Regression Based on Variance Decomposition, The American Statistician, Vol. 61 No. 2, available at:https://doi.org/10.1198/000313007X188252.

Howell, D. and R. Dean. (2017) Have Descents really become more Efficient? Trends in Potential Time and Fuel Savings in the Descent Phase of Flight after implementation of multiple procedures and ATC tools, Europe Air Traffic Management Research and Development Seminar, available at: http://atmseminar.org/seminarContent/seminar12/papers/12th_ATM_RD_Seminar_paper_17.pdf (accessed 10 May 2021).

ICAO. (2019a) Global Air Navigation Plan 6 th Edition, Global Air Navigation Plan 6 Th Edition, available at: https://www4.icao.int/ganpportal/ (accessed 10 May 2021).

ICAO. (2019b) Global Air Navigation Plan (GANP) - Key Performance Indicators (KPIs), Global Air Navigation Plan (GANP) - Key Performance Indicators (KPIs), available at: https://www4.icao.int/ganpportal/ASBU (accessed 10 May 2021).

Knorr, D.; X. Chen; M.R. Rose; J. Gulding; P. Enaud and H. Hegendoerfer. (2011) Estimating ATM Efficiency Pools in the Descent Phase of Flight, Ninth USA/Europe Air Traffic Management Research and Development Seminar, available at: http://www.atmseminar.org/seminarContent/seminar9/papers/116-Chen-Final-Paper-4-18-11.pdf (accessed 11 May 2021).

Liu, Y.; M. Hansen; D. Lovell; C. Chuang; M. Ball and J. Gulding. (2017) Causal Analysis of En Route Flight Inefficiency – the US Experience, Twelfth USA/Europe Air Traffic Management Research and Development Seminar, available at: http://www.atmseminar.org/seminarContent/seminar12/papers/12th_ATM_RD_Seminar_paper_130.pdf (accessed 10 May 2021).

Marcos, R.; O. García-Cantú and R. Herranz. (2018) A Machine Learning Approach to Air Traffic Route Choice Modelling, available at: https://ui.adsabs.harvard.edu/abs/2018arXiv180206588M/abstract (accessed 10 May 2021).

Melby, P. and R. Mayer. (2008) Benefit Potential of Continuous Climb and Descent Operations, The 26th Congress of ICAS and 8th AIAA ATIO, American Institute of Aeronautics and Astronautics, Reston, Virigina, available at:https://doi.org/10.2514/6.2008-8920.

Murça, M.C.R.; R.J. Hansman; L. Li and P. Ren. (2018) Flight trajectory data analytics for characterization of air traffic flows: A comparative analysis of terminal area operations between New York, Hong Kong and Sao Paulo, Transportation Research Part C: Emerging Technologies, Elsevier Ltd, Vol. 97, pp. 324–347.

Pamplona, D.A.; J.L. de C. Fortes and C.J.P. Alves. (2015) Análise dos benefícios da utilização de procedimentos baseados em desempenho e da utilização de aproximações de descida contínua na rota Galeão-Guarulhos, TRANSPORTES, Vol. 23 No. 2, available at:https://doi.org/10.14295/transportes.v23i2.862.

Pasutto, P.; E. Hoffman and K. Zeghal. (2019) Vertical Efficiency in Descent Compared to Best Local Practices , Thirteenth USA/Europe Air Traffic Management Research and Development Seminar, available at: https://www.eurocontrol.int/sites/default/files/2019-06/ATM_Seminar_2019_paper_42.pdf (accessed 10 May 2021).

Reynolds, T.G. (2014) Air traffic management performance assessment using flight inefficiency metrics, Transport Policy, Vol. 34, available at:https://doi.org/10.1016/j.tranpol.2014.02.019.

Robinson III, J. and M. Kamgarpour. (2010) Benefits of Continuous Descent Operations in High-Density Terminal Airspace Considering Scheduling Constraints, 10th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference, American Institute of Aeronautics and Astronautics, Reston, Virigina, available at: https://doi.org/10.2514/6.2010-9115.

Sun, D. and J. Post. (2011) Evalution of Continuous Descent Approach in Normal Air Traffic Conditions, Ninth USA/Europe Air Traffic Management Research and Development Seminar, available at: http://icrat.org/seminarContent/seminar9/papers/62-Cao-Final-Paper-4-4-11.pdf (accessed 10 May 2021).

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Published

2021-11-18

How to Cite

Szenczuk, J. B. T. ., Murça, M. C. R. ., Sant’anna Souza, W. S. ., & Gomes, R. de A. . (2021). Causal analysis of vertical flight inefficiency during descents . TRANSPORTES, 29(3), 2486. https://doi.org/10.14295/transportes.v29i4.2486

Issue

Vol. 29 No. 3 (2021)

Section

Artigos

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Copyright (c) 2021 Joao Basilio Tarelho Szenczuk, Mayara Condé Rocha Murça, Wallace Silva Sant’anna Souza, Rogéria de Arantes Gomes

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