Publication:
Air Traffic Control: A Local Approach to the Trajectory Segmentation Issue

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URI: http://hdl.handle.net/10016/18335
ISSN: 0302-9743
ISBN: 978-3-642-13033-5 (online)
ISBN: 978-3-642-13032-8 (print)
DOI: 10.1007/978-3-642-13033-5_51
UXXI: CC/0000012279
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2010
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Springer
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Abstract
This paper presents a new approach for trajectory segmentation in the area of Air Traffic Control, as a basic tool for offline validation with recorded opportunity traffic data. Our approach uses local information to classify each measurement individually, constructing the final segments over these classified samples as the final solution of the process. This local classification is based on a domain transformation using motion models to identify the deviations at a local scale, as an alternative to other global approaches based on combinatorial analysis over the trajectory segmentation domain.
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Proceedings of: 23rd International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA-AIE 2010) Córdoba-Spain, June 04-06, 2010
Keywords
Air Traffic Control, Segmentation, Movement Model, Model Fitting
Bibliographic citation
García Pedrajas, N. et al. (eds.) (2010) Trends in Applied Intelligent Systems: 23rd International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2010, Cordoba, Spain, June 1-4, 2010, Proceedings, Part III. (Lecture Notes in Computer Science, 6098) Springer, pp. 498- 507
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