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Research on the Application of Data Mining Technology in Smart Transportation

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Cyber Security Intelligence and Analytics (CSIA 2021)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1343))

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Abstract

The level of automobileization in China is increasing year by year, and the pressure of urban traffic is increasing day by day, which brings a lot of inconvenience to people’s daily travel. Intelligent transportation based on big data can improve the timeliness and accuracy of traffic information acquisition, its diversified construction the traffic data network provides preconditions for the construction of intelligent transportation, and the application of big data technology has become the key to improving the urban traffic environment. This article explains the relationship between big data technology and intelligent transportation, analyzes the advantages of big data technology, shows the changes that big data brings to transportation, and conducts research on the application of big data in the field of intelligent transportation.

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Acknowledgments

Shaanxi Province Co-ordination and Innovation Project of Science and Technology (2015KTZDGY01–04).

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Authors and Affiliations

  1. State Key Laboratory of Rail Transit Engineering Informatization (FSDI), Xi’an, Shaanxi, China

    Changping Lu

Authors
  1. Changping Lu
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Correspondence to Changping Lu .

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Editors and Affiliations

  1. Shanghai University of Medicine and Health Sciences, Shanghai, China

    Zheng Xu

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

    Reza M. Parizi

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

    Octavio Loyola-González

  4. Assistant Professor in Practice, University of Texas at San Antonio, Boerne, TX, USA

    Xiaolu Zhang

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© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Lu, C. (2021). Research on the Application of Data Mining Technology in Smart Transportation. In: Xu, Z., Parizi, R.M., Loyola-González, O., Zhang, X. (eds) Cyber Security Intelligence and Analytics. CSIA 2021. Advances in Intelligent Systems and Computing, vol 1343. Springer, Cham. https://doi.org/10.1007/978-3-030-69999-4_39

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