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Research on the Application of Data Mining Algorithms in Intelligent Transportation

Research on the Application of Data Mining Algorithms in Intelligent Transportation

Weifang Zhai, Yiran Jiang, Song Ji
Copyright: © 2019 |Volume: 11 |Issue: 2 |Pages: 10
ISSN: 1937-965X|EISSN: 1937-9668|EISBN13: 9781522564959|DOI: 10.4018/IJAPUC.2019040101
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MLA

Zhai, Weifang, et al. "Research on the Application of Data Mining Algorithms in Intelligent Transportation." IJAPUC vol.11, no.2 2019: pp.1-10. http://doi.org/10.4018/IJAPUC.2019040101

APA

Zhai, W., Jiang, Y., & Ji, S. (2019). Research on the Application of Data Mining Algorithms in Intelligent Transportation. International Journal of Advanced Pervasive and Ubiquitous Computing (IJAPUC), 11(2), 1-10. http://doi.org/10.4018/IJAPUC.2019040101

Chicago

Zhai, Weifang, Yiran Jiang, and Song Ji. "Research on the Application of Data Mining Algorithms in Intelligent Transportation," International Journal of Advanced Pervasive and Ubiquitous Computing (IJAPUC) 11, no.2: 1-10. http://doi.org/10.4018/IJAPUC.2019040101

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Abstract

Nowadays, in the field of intelligent transportation, data mining technology has been applied more and more widely. Data mining technology can find valuable data from amongst massive traffic data and analyze traffic conditions according to actual traffic conditions. In order to improve the management and control level of ITMS, effective information can be queried from various query conditions, models suitable for various traffic situations can be found, analyzed and predicted, and accurate information can be provided to traffic managers for decision-making. This article mainly studies the data mining algorithm in intelligent transportation, in order to provide practical reference for the application and research of urban traffic big data technology.

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