Contextualized Analysis of Movement Events

dc.contributor.authorChen, Simingen_US
dc.contributor.authorAndrienko, Gennadyen_US
dc.contributor.authorAndrienko, Nataliaen_US
dc.contributor.authorDoulkeridis, Christosen_US
dc.contributor.authorKoumparos, Athanasiosen_US
dc.contributor.editorLandesberger, Tatiana von and Turkay, Cagatayen_US
dc.date.accessioned2019-06-02T18:19:22Z
dc.date.available2019-06-02T18:19:22Z
dc.date.issued2019
dc.description.abstractFor 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.en_US
dc.description.sectionheadersAnalyzing Movement and Events
dc.description.seriesinformationEuroVis Workshop on Visual Analytics (EuroVA)
dc.identifier.doi10.2312/eurova.20191124
dc.identifier.isbn978-3-03868-087-1
dc.identifier.pages49-53
dc.identifier.urihttps://doi.org/10.2312/eurova.20191124
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/eurova20191124
dc.publisherThe Eurographics Associationen_US
dc.titleContextualized Analysis of Movement Eventsen_US
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