Leveraging spatial abstraction in traffic analysis and forecasting with visual analytics

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Andrienko, N.; Andrienko, G.; Rinzivillo, S.;

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
  • References (7)

    1. Andrienko, G., Andrienko, N., Bak, P., Keim, D., and Wrobel, S. Visual Analytics of Movement. Springer, 2013.

    2. Andrienko, N., Andrienko, G. Spatial Generalization and Aggregation of Massive Movement Data, IEEE Trans. Visualization and Computer Graphics, 17(2): 205-219, 2011.

    3. Andrienko, N., Andrienko, G. A Visual Analytics Framework for Spatio-temporal Analysis and Modeling, Data Mining and Knowledge Discovery, 27(1): 55-83, 2013.

    4. Andrienko, N., Andrienko, G., and Rinzivillo, S. Leveraging Spatial Abstraction in Traffic Analysis and Forecasting with Visual Analytics, Information Systems, 57(1): 172-194, 2016; Appendix: http://geoanalytics.net/and/is2015/

    5. Gazis, D.C. Traffic Theory, Kliwer Academic, Boston, USA, 2002.

    6. http://en.wikipedia.org/wiki/Fundamental_diagram_of_traffic_flow

    7. Pappalardo, L., Rinzivillo, S., Qu, Z., Pedreschi, D., and Giannotti, F. Understanding the Patterns of Car Travel. European Physics Journal Special Topics, 215, 61-73, 2013.

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