Data visualization techniques for airspace flow modeling

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.
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Aude Marzuoli, Christophe Hurter, Eric Féron. Data visualization techniques for airspace flow modeling. CIDU 2012, Conference on Intelligent Data Understanding, Oct 2012, Boulder, United States. pp 79 - 86, ⟨10.1109/CIDU.2012.6382187⟩. ⟨hal-01022432⟩

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