Data visualization techniques for airspace flow modeling

Aude Marzuoli, Christophe Hurter, Eric Feron

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Scopus citations

Abstract

With the predicted growth of air traffic, traffic flow managers need new tools to access information to support their decision making processes. Recent progress with information visualization tools enables users to explore large data sets and extract decisive knowledge. Their advantages for air traffic applications are presented in this paper. They can provide high level information to aggregate trajectories. With constant feedback due to human perception, a flow model of the airspace, reflecting its intrinsic structure, is elaborated and can be used for further research. © 2012 IEEE.
Original languageEnglish (US)
Title of host publicationProceedings - 2012 Conference on Intelligent Data Understanding, CIDU 2012
Pages79-86
Number of pages8
DOIs
StatePublished - Dec 1 2012
Externally publishedYes

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