Applicability of Big Data Techniques to Smart Cities Deployments

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

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

116 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)800-809
Number of pages10
JournalIEEE Transactions on Industrial Informatics
Issue number2
Publication statusPublished - Apr 2017


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


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