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Intelligent Data Analysis and Applications pp 439–448Cite as

System Architecture and Core Technologies for Transportation Internet of Things

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 370))

Abstract

Considering the recent application and research status for Internet of things (IoT) in transportation industry, this paper proposed the concept, system architecture and technical systems of the Transportation IoT. In this paper, several key technical problems in the development of current transportation IoT were discussed, including sensing and recognition technology, network and communications technology, cloud computing and big data processing technology and so on, which aims at exploring the future development and application of the transportation IoT further.

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Acknowledgments

This work is supported financially by the university scientific research special of Fujian Province (No. JK2014033; No. 2013HZ0002-1; No. 2014H0008; No. 2014-G-83).

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Authors and Affiliations

  1. The Key Laboratory for Automotive Electronics and Electric Drive of Fujian Province, Fujian University of Technology, Fuzhou, 350118, China

    Quan Zhu, Fumin Zou & Yanling Deng

Authors
  1. Quan Zhu
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  2. Fumin Zou
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  3. Yanling Deng
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Corresponding author

Correspondence to Quan Zhu .

Editor information

Editors and Affiliations

  1. Machine Intelligence Research Labs (MIR Labs), Auburn, Washington, USA

    Ajith Abraham

  2. Fujian University of Technology, Fujian, China

    Xin Hua Jiang

  3. Department of Computer Science, VSB-Technical University of Ostrava, Ostrava-Poruba, Czech Republic

    Václav Snášel

  4. Fujian University of Technology, Fujian, China

    Jeng-Shyang Pan

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© 2015 Springer International Publishing Switzerland

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Zhu, Q., Zou, F., Deng, Y. (2015). System Architecture and Core Technologies for Transportation Internet of Things. In: Abraham, A., Jiang, X., Snášel, V., Pan, JS. (eds) Intelligent Data Analysis and Applications. Advances in Intelligent Systems and Computing, vol 370. Springer, Cham. https://doi.org/10.1007/978-3-319-21206-7_37

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  • DOI: https://doi.org/10.1007/978-3-319-21206-7_37

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-21205-0

  • Online ISBN: 978-3-319-21206-7

  • eBook Packages: EngineeringEngineering (R0)

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