Latest revision as of 03:03, 2 February 2021

Abstract

Predicting accurate trajectories with limited intent information is a challenge faced by air traffic management decision support tools in operation today. One such tool is the FAA's Terminal Proximity Alert system which is intended to assist controllers in maintaining safe separation of arrival aircraft during final approach. In an effort to improve the performance of such tools, two final approach trajectory models are proposed; one based on polynomial interpolation, the other on the Fourier transform. These models were tested against actual traffic data and used to study effects of the key final approach trajectory modeling parameters of wind, aircraft type, and weight class, on trajectory prediction accuracy. Using only the limited intent data available to today's ATM system, both the polynomial interpolation and Fourier transform models showed improved trajectory prediction accuracy over a baseline dead reckoning model. Analysis of actual arrival traffic showed that this improved trajectory prediction accuracy leads to improved inter-arrival separation prediction accuracy for longer look ahead times. The difference in mean inter-arrival separation prediction error between the Fourier transform and dead reckoning models was 0.2 nmi for a look ahead time of 120 sec, a 33 percent improvement, with a corresponding 32 percent improvement in standard deviation.

Original document

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

• http://www.aviationsystemsdivision.arc.nasa.gov/publications/2010/AIAA-2010-9117.pdf

• http://arc.aiaa.org/doi/pdf/10.2514/6.2010-9117,

http://dx.doi.org/10.2514/6.2010-9117

• https://ntrs.nasa.gov/search.jsp?R=20110007949,

https://arc.aiaa.org/doi/10.2514/6.2010-9117,

https://repository.exst.jaxa.jp/dspace/handle/a-is/248322,

https://academic.microsoft.com/#/detail/2049531856