Leveraging spatial abstraction in traffic analysis and forecasting with visual analytics

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Andrienko, N.; Andrienko, G.; Rinzivillo, S.;
(2016)

A spatially abstracted transportation network is a graph where nodes are territory compartments (areas in geographic space) and edges, or links, are abstract constructs, each link representing all possible paths between two neighboring areas. By applying visual analytic... View more
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