Yong-Yeon Kim
ABSTRACT
The transportation data increased due to the expansion of the Intelligent Transportation Systems (ITS) enables to conduct useful analyses meeting various demands. The purpose of this paper is to understand transportation point and accordingly assume the points where the traffic is congested and the intersections where the traffic goes frequently in and out between cities. In doing so, the transportation data consisting of the existing databases is processed enough to be applied in accordance with the graph theory. In addition, Pagerank algorithm is applied using GraphX created by Spark, a real-time big data analysis platform on an in-memory environment
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