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http://dx.doi.org/10.6109/jkiice.2015.19.3.607

Addressing Big Data solution enabled Connected Vehicle services using Hadoop  

Nkenyereye, Lionel (Department of Computer Engineering, Dong-Eui University)
Jang, Jong-Wook (Department of Computer Engineering, Dong-Eui University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.19, no.3, 2015 , pp. 607-612 More about this Journal
Abstract
As the amount of vehicle's diagnostics data increases, the actors in automotive ecosystem will encounter difficulties to perform a real time analysis in order to simulate or to design new services according to the data gathered from the connected cars. In this paper, we have conducted a study of a Big Data solution that expresses the essential deep analytics to process and analyze vast quantities of vehicles on board diagnostics data generated by cars. Hadoop and its ecosystems have been deployed to process a large data and delivered useful outcomes that may be used by actors in automotive ecosystem to deliver new services to car owners. As the Intelligent transport system is involved to guarantee safety, reduce rate of crash and injured in the accident due to speed, addressing big data solution based on vehicle diagnostics data is upcoming to monitor real time outcome from it and making collection of data from several connected cars, facilitating reliable processing and easier storage of data collected.
Keywords
Connected car; Hadoop project; HIVE open source; Big data Problem; on-board diagnostics; MapReduce;
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