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Visualization of real-time heterogeneous smart city data using virtual reality Host Publication: IEEE International Smart Cities Conference Authors: S. Vanden Broucke and N. Deligiannis Publication Year: 2019 Number of Pages: 6
Abstract: As the size and dimensionality of big heterogeneous data sets increases, finding patterns and anomalies with existing visualization methods and tools poses a significant challenge. Real-time heterogeneous smart city data is often highly dynamic and requires analysts to gain insights in a limited time-frame, otherwise the acquired data might become obsolete. The majority of existing smart city data visualizations superimpose multidimensional data points on a static two-dimensional (2D) map, resulting in a reduced dimensionality and situational context. Moreover, these visualizations use 2D interaction tools, causing the manipulation and exploration of three-dimensional (3D) data to become unnatural. In recent years, new opportunities emerged in the field of data visualization with augmented reality (AR) and virtual reality (VR). However, existing efforts on these technologies are often limited to a fixed geographic scene and are unable to display a combination of real-time dynamic mobility, social and meteorological data. In this paper we propose a VR platform for the exploration of real-time heterogeneous smart city data through 3D interaction with dynamic data points on an adaptable geographic scene with 3D building structures.
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