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Introduction to the Fifth ENRI International Workshop on ATM/CNS (EIWAC2017) Read chapter Read first chapter

2019 | OriginalPaper | Chapter

Trajectory Mathematical Distance Applied to Airspace Major Flows Extraction

Authors : D. Delahaye, S. Puechmorel, S. Alam, E. Feron

Published in: Air Traffic Management and Systems III

Publisher: Springer Singapore

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Abstract

In this paper, the problem of aircraft trajectories representation and analysis is addressed. In many operational situations, there is a need to have a value expressing how trajectories are close to each other. Some measures have been previously defined, mainly for trajectory prediction applications, all of them being based on distance computations at given positions in space and time. The approach presented here is to consider the trajectory as a whole object belonging to a functional space and to perform all computations in this space. An efficient algorithm for computing mathematical distance between trajectories is then presented and applied to the major flows extraction in the French airspace.

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previous chapter An Approach for Attribute- and Performance-Based Evaluation of Interdependent Critical Infrastructures
next chapter Aircraft Safety Analysis Using Generalized Polynomial Chaos
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Metadata
Title
Trajectory Mathematical Distance Applied to Airspace Major Flows Extraction
Authors
D. Delahaye
S. Puechmorel
S. Alam
E. Feron
Copyright Year
2019
Publisher
Springer Singapore
Book
Air Traffic Management and Systems III

Print ISBN: 978-981-13-7085-4

Electronic ISBN: 978-981-13-7086-1

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-981-13-7086-1_4