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Leveraging spatial abstraction in traffic analysis and forecasting with visual analytics

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Academic year: 2019

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Figure

Fig. 1. The maps show spatially abstracted transportation networks of Milan with cell radii about 2km (top) and 4 km (bottom)
Fig. 2. For a scenario of mass evacuation from the coastal areas in Tuscany (Italy), simulated car trajectories are represented in a space-time cube, where two dimensions represent geograph-ical time and one dimension time

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