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    Contextualized Analysis of Movement Events

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    Date
    2019
    Author
    Chen, Siming
    Andrienko, Gennady
    Andrienko, Natalia
    Doulkeridis, Christos
    Koumparos, Athanasios
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    Abstract
    For understanding the circumstances, causes, and consequences of events that may happen during movement (e.g., harsh brake, sharp turn), it is necessary to analyze event context. The context includes dynamic attributes of the moving objects before and after the event and external context elements such as other moving objects, weather, terrain, etc. To explore events in context, we propose an analytical workflow including event contextualization, context pattern detection, and exploration of the spatio-temporal distribution of the detected patterns. The approach involves clustering of events based on the similarity of their contexts and interactive visual techniques for exploration of the distribution of the clusters in time, geographic space, and multidimensional attribute space. In close collaboration with domain experts, we apply our method to real-world vehicle trajectories with the purpose of identifying and investigating potentially dangerous driving behaviors.
    BibTeX
    @inproceedings {rova.20191124,
    booktitle = {EuroVis Workshop on Visual Analytics (EuroVA)},
    editor = {Landesberger, Tatiana von and Turkay, Cagatay},
    title = {{Contextualized Analysis of Movement Events}},
    author = {Chen, Siming and Andrienko, Gennady and Andrienko, Natalia and Doulkeridis, Christos and Koumparos, Athanasios},
    year = {2019},
    publisher = {The Eurographics Association},
    ISBN = {978-3-03868-087-1},
    DOI = {10.2312/eurova.20191124}
    }
    URI
    https://doi.org/10.2312/eurova.20191124
    https://diglib.eg.org:443/handle/10.2312/eurova20191124
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    Eurographics Association copyright © 2013 - 2020 
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    Theme by @mire NV
    System hosted at  Graz University of Technology.
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