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Mobility Viewer: An Eulerian Approach for Studying Urban Crowd Flow | IEEE Journals & Magazine | IEEE Xplore

Mobility Viewer: An Eulerian Approach for Studying Urban Crowd Flow


Abstract:

Studying human movement citywide is important for understanding mobility and transportation patterns. Rather than investigating the trajectories of individuals, we employ...Show More

Abstract:

Studying human movement citywide is important for understanding mobility and transportation patterns. Rather than investigating the trajectories of individuals, we employ an Eulerian approach to analyze the crowd flows among a geographical network and a social network, which are extracted from mobile phone data. We design a suite of visualization techniques to illustrate the dynamic evolutions of the flow over the networks. We contribute the design and implementation of a visual analytics system, which is called Mobility Viewer, that supports situation-aware understanding and visual reasoning of human mobility. We exemplify our approach with a real citywide data set of seven million users in two months.
Published in: IEEE Transactions on Intelligent Transportation Systems ( Volume: 17, Issue: 9, September 2016)
Page(s): 2627 - 2636
Date of Publication: 03 December 2015

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