Research on the Application of Data Mining Algorithms in Intelligent Transportation

Weifang Zhai, Yiran Jiang and Song Ji
Additional contact information
Weifang Zhai: China University of Geosciences Great wall College, BaoDing, China
Yiran Jiang: China University of Geosciences Great wall College, BaoDing, China
Song Ji: China University of Geosciences Great wall College, BaoDing, China

International Journal of Advanced Pervasive and Ubiquitous Computing (IJAPUC), 2019, vol. 11, issue 2, 1-10

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.

Date: 2019
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 18/IJAPUC.2019040101 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:japuc0:v:11:y:2019:i:2:p:1-10

Access Statistics for this article

International Journal of Advanced Pervasive and Ubiquitous Computing (IJAPUC) is currently edited by Tao Gao

More articles in International Journal of Advanced Pervasive and Ubiquitous Computing (IJAPUC) from IGI Global
Bibliographic data for series maintained by Journal Editor ().