Affiliations: School of Electrical and Information, Changchun Guanghua University, Changchun, China
Correspondence:
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Corresponding author. Weiguang Li, School of Electrical and Information, Changchun Guanghua University, Changchun, 130033, China. E-mail: [email protected].
Abstract: Intelligent transportation is a new type of transportation system, and it can improve the transport service system through utilizing lots of modern electronic information technologies, such as Internet of Things, cloud computing, artificial intelligence, automatic control, mobile internet.Through the comprehensive analysis and transmission of information, the system helps people properly arrange their travel routes, thus ensuring that people’s traffic travel rate can be effectively improved. This paper uses the fusion of data mining technology and distributed parallel Hadoop technology to realize the architecture of the intelligent traffic system, and uses the mining algorithm to realize the analysis of running state,and the Internet of things are used to obtain the data from the perceptive layer. The simulation results show that the proposed system has significant performance on prediction.
Keywords: Internet of things, intelligent transportation, big data, system, Hadoop, prediction
