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Vehicle Management System Based on Big Data Technology

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Cyber Security Intelligence and Analytics (CSIA 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1147))

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Abstract

The article mainly introduces the data dictionary system based on big data technology, including the hardware system and software system. The hardware consists of card issuing system and checking system. The software includes background processing and front processing. The system carries out a function of data exchange among insurance, traffic, public security and other vehicle-related industries. It can be rapid writing, checking and obtaining vehicle-related information among variable industries. Furthermore, the system increases the efficiency of vehicle management and prevents vehicle information from being falsified.

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Acknowledgement

This work is supported by National Key R&D Program of China (No. 2018YFB1004605).

Author information

Authors and Affiliations

  1. School of Communication and Information Engineering, Shanghai University, Shanghai, China

    Bo Zhao

  2. The Third Research Institute of the Ministry of Public Security, Shanghai, China

    Bo Zhao, Cheng Cheng, Yuxin Cai & Ming Yang

Authors
  1. Bo Zhao
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  2. Cheng Cheng
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  3. Yuxin Cai
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  4. Ming Yang
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Corresponding author

Correspondence to Bo Zhao .

Editor information

Editors and Affiliations

  1. Shanghai University, Shanghai, China

    Zheng Xu

  2. Department of Software Engineering and Game Development, Kennesaw State University, Marietta, GA, USA

    Reza M. Parizi

  3. Manchester Metropolitan University, Stockport, UK

    Mohammad Hammoudeh

  4. School of Engineering and Sciences, Tecnologico de Monterrey, Puebla, Mexico

    Octavio Loyola-González

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Zhao, B., Cheng, C., Cai, Y., Yang, M. (2020). Vehicle Management System Based on Big Data Technology. In: Xu, Z., Parizi, R., Hammoudeh, M., Loyola-González, O. (eds) Cyber Security Intelligence and Analytics. CSIA 2020. Advances in Intelligent Systems and Computing, vol 1147. Springer, Cham. https://doi.org/10.1007/978-3-030-43309-3_102

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