文章基本信息

标题：DEVELOPING BIG DATA FRAME WORKS FOR EFFICIENT INTELLIGENT TRANSPORT SYSTEM FOR SAFETY AND SECURITY
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作者：P. KIRAN KUMAR ; A. VIJAY GOPAL
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2019
卷号：97
期号：6
页码：1833-1842
出版社：Journal of Theoretical and Applied
摘要：Big data is an advanced technology where we can use its services for our application. Big data handles large volumes of data upon a sudden rise and request of the users. Transportation system is one where we have to handle big data. Based on the gathered data the decision has to be taken for safer measures and efficient, profitable and secured. In this paper we conducted a survey on big data in ITS (Intelligent Transportation System). Data collection, analytics and frame works can be explained. We concluded from our survey by using big data we will resolve our traditional traffic problems. We attempted to provide architecture for ITS using big data thencalculation of bayonet traffic flow, calculation ofaverage speed of a road, querying the travel path of a vehicle, checking and controlling the fake vehicles.
关键词：ITS; big data; vehicle tracking; Large Data Storage; Cloud Computing;