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RESEARCH PRODUCT
Statistical characterization of deviations from planned flight trajectories in air traffic management
Rosario N. MantegnaRosario N. MantegnaGérald GurtnerChristian BongiornoSalvatore MiccichèFabrizio Lillosubject
0301 basic medicinePhysics - Physics and SocietyEngineeringStrategy and ManagementFOS: Physical sciencesTransportationPhysics and Society (physics.soc-ph)Management Monitoring Policy and LawStability (probability)socio-technical complex systemAviation safety03 medical and health sciencesControl theory0502 economics and business11. SustainabilityAir traffic management complex networks trajectoriesSimulationRandomness050210 logistics & transportationbusiness.industry05 social sciencesAir traffic managementAir traffic controlSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)030104 developmental biologyMetric (mathematics)TrajectoryNull hypothesisbusinessLawair traffc managementdescription
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 daytime. 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 difork, which is able to characterize navigation points according to the likelihood that a deviation occurs there. Difork 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.
year | journal | country | edition | language |
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2016-03-09 | Journal of Air Transport Management |