Latest revision as of 10:08, 16 February 2021

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 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.

Comment: 16 pages; 11 figures; 3 table

Original document

The different versions of the original document can be found in:

• http://arxiv.org/abs/1603.02859 under the license https://creativecommons.org/licenses/by-nc-nd

• http://dx.doi.org/10.1016/j.jairtraman.2016.10.009

• http://hdl.handle.net/11585/597085

• http://westminsterresearch.wmin.ac.uk/17960/1/paper_fork_20160215_jatm.pdf

• https://api.elsevier.com/content/article/PII:S0969699716300539?httpAccept=text/xml,

https://api.elsevier.com/content/article/PII:S0969699716300539?httpAccept=text/plain,

http://dx.doi.org/10.1016/j.jairtraman.2016.10.009 under the license cc-by-nc-nd

• https://www.sciencedirect.com/science/article/pii/S0969699716300539,

https://pure.unipa.it/it/publications/statistical-characterization-of-deviations-from-planned-flight-tr-2,

https://westminsterresearch.westminster.ac.uk/item/9yz6w/statistical-characterization-of-deviations-from-planned-flight-trajectories-in-air-traffic-management,

https://ideas.repec.org/a/eee/jaitra/v58y2017icp152-163.html,

https://iris.unipa.it/handle/10447/218654,

http://www.sciencedirect.com/science/article/pii/S0969699716300539,

https://trid.trb.org/view/1435640,

https://econpapers.repec.org/article/eeejaitra/v_3a58_3ay_3a2017_3ai_3ac_3ap_3a152-163.htm,

https://academic.microsoft.com/#/detail/2295012394 under the license https://www.elsevier.com/tdm/userlicense/1.0/