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Key Issues of Smart Cities

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Smart Cities: Big Data Prediction Methods and Applications

Abstract

With the continuous development of various cutting-edge technologies, the concept of smart cities has become increasingly hot in recent years. It will be the future direction of the development of cities. This chapter is the general chapter of the book. In the chapter, the big data forecasting technology is used as the basic point to elaborate and analyze from the aspects of smart grid and buildings, smart traffic, and smart environment. In each part, the relevant research significance and technical characteristics are described. Then, from the perspective of bibliometrics, this book reviews the domestic and foreign research on big data forecasting technology in smart cities. It can be seen from the literature analysis that the big data forecasting technology of smart cities is still in its infancy, and the research work of this book has extremely high academic value.

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Authors and Affiliations

  1. School of Traffic and Transportation Engineering, Central South University, Changsha, Hunan, China

    Hui Liu

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  1. Hui Liu
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Liu, H. (2020). Key Issues of Smart Cities. In: Smart Cities: Big Data Prediction Methods and Applications. Springer, Singapore. https://doi.org/10.1007/978-981-15-2837-8_1

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  • DOI: https://doi.org/10.1007/978-981-15-2837-8_1

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-2836-1

  • Online ISBN: 978-981-15-2837-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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