Applicability of Big Data Techniques to Smart Cities Deployments

作者：Victoria Moreno, M.; Terroso-Saenz, Fernando; Gonzalez-Vidal, Aurora; Valdes-Vela, Mercedes; Skarmeta, Antonio F.; Zamora, Miguel A.; Chang, Victor

来源：IEEE Transactions on Industrial Informatics, 2017, 13(2): 800-809.

DOI：10.1109/TII.2016.2605581

• Big data
• Internet of Things (IOT)
• predictive models
• smart city
• transit-card mining

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.

• 出版日期2017-4
• 单位西交利物浦大学