Abstract

Information about the waypoints of a moving object, e.g., an airliner in an air traffic control (ATC) problem, should be considered in trajectory modeling and prediction. Due to the ATC regulations, trajectory design criteria, and restricted motion capability of airliners there are long-range dependencies in trajectories of airliners. Waypoint information can be used for modeling such dependencies in trajectories. This paper proposes a conditionally Markov (CM) sequence for modeling trajectories passing by waypoints. A dynamic model governing the proposed sequence is obtained. Filtering and trajectory prediction formulations are presented. The use of the proposed sequence for modeling trajectories with waypoints is justified.

Comment: arXiv admin note: text overlap with arXiv:1811.08021


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

http://dx.doi.org/10.1109/allerton.2018.8635996
http://ui.adsabs.harvard.edu/abs/2018arXiv181108576R/abstract,
https://academic.microsoft.com/#/detail/2963781522
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Published on 01/01/2018

Volume 2018, 2018
DOI: 10.1109/allerton.2018.8635996
Licence: CC BY-NC-SA license

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