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Statistical characterization of deviations from planned flight trajectories in air traffic management

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  • Bongiorno, C.
  • Gurtner, G.
  • Lillo, F.
  • Mantegna, R.N.
  • Miccichè, S.

Abstract

Understanding the relation between planned and realized flight trajectories and the determinants of flight deviations is of great importance in air traffic management. In this paper we perform an in-depth investigation of the statistical properties of planned and realized air traffic on the German airspace during a 28 day periods, corresponding to an AIRAC cycle. We find that realized trajectories are on average shorter than planned ones and this effect is stronger during night-time than day-time. Flights are more frequently deviated close to the departure airport and at a relatively large angle-to-destination. Moreover, the probability of a deviation is higher in low traffic phases. All these evidences indicate that deviations are mostly used by controllers to give directs to flights when traffic conditions allow it. Finally we introduce a new metric, termed di-fork, which is able to characterize navigation points according to the likelihood that a deviation occurs there. Di-fork allows to identify in a statistically rigorous way navigation point pairs where deviations are more (less) frequent than expected under a null hypothesis of randomness that takes into account the heterogeneity of the navigation points. Such pairs can therefore be seen as sources of flexibility (stability) of controllers traffic management while conjugating safety and efficiency.

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  • Bongiorno, C. & Gurtner, G. & Lillo, F. & Mantegna, R.N. & Miccichè, S., 2017. "Statistical characterization of deviations from planned flight trajectories in air traffic management," Journal of Air Transport Management, Elsevier, vol. 58(C), pages 152-163.
    • Handle: RePEc:eee:jaitra:v:58:y:2017:i:c:p:152-163
    DOI: 10.1016/j.jairtraman.2016.10.009
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    References listed on IDEAS

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    1. Gérald Gurtner & Stefania Vitali & Marco Cipolla & Fabrizio Lillo & Rosario Nunzio Mantegna & Salvatore Miccichè & Simone Pozzi, 2014. "Multi-Scale Analysis of the European Airspace Using Network Community Detection," PLOS ONE, Public Library of Science, vol. 9(5), pages 1-17, May.
    2. Bagler, Ganesh, 2008. "Analysis of the airport network of India as a complex weighted network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(12), pages 2972-2980.
    3. Zanin, Massimiliano, 2014. "Network analysis reveals patterns behind air safety events," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 401(C), pages 201-206.
    4. Malighetti, Paolo & Paleari, Stefano & Redondi, Renato, 2008. "Connectivity of the European airport network: “Self-help hubbing†and business implications," Journal of Air Transport Management, Elsevier, vol. 14(2), pages 53-65.
    5. Cook, Andrew & Blom, Henk A.P. & Lillo, Fabrizio & Mantegna, Rosario Nunzio & Miccichè, Salvatore & Rivas, Damián & Vázquez, Rafael & Zanin, Massimiliano, 2015. "Applying complexity science to air traffic management," Journal of Air Transport Management, Elsevier, vol. 42(C), pages 149-158.
    6. Guida, Michele & Maria, Funaro, 2007. "Topology of the Italian airport network: A scale-free small-world network with a fractal structure?," Chaos, Solitons & Fractals, Elsevier, vol. 31(3), pages 527-536.
    7. Lacasa, Lucas & Cea, Miguel & Zanin, Massimiliano, 2009. "Jamming transition in air transportation networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(18), pages 3948-3954.
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