The current paper by Moreno et al. (2016) attempts to analyze the interest of big data for smart cities through the presentation of some applications in two scenarios. The first scenario deals with large volumes of heterogeneous information for use in smart building applications and the second one is centered on the public tram service in the city of Murcia, Spain.
This paper presents the main foundations of big data applied to smart cities. A general Internet of Things based architecture is proposed to be applied to different smart cities applications. We describe two scenarios of big data analysis. One of them illustrates some services implemented in the smart campus of the University of Murcia. The second one is focused on a tram service scenario, where thousands of transit-card transactions should be processed. Results obtained from both scenarios show the potential of the applicability of this kind of techniques to provide profitable services of smart cities, such as the management of the energy consumption and comfort in smart buildings, and the detection of travel profiles in smart transport.
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