Addressing Big Data solution enabled Connected Vehicle services using Hadoop

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.

Prospects for the Development of Digital Healthcare Sector through Patent Analysis

“…And the second is divided into research that develops industrial development or people's health care service platform using artificial intelligence techniques with big data (Kim et al, 2014;Nkenyereye & Jang, 2015;Lim et al, 2017;Kim, 2017;Jung et al, 2015).…”

A Study on Big Data Thinking of the Internet of Things-Based Smart-Connected Car in Conjunction with Controller Area Network Bus and 4G-Long Term Evolution

“…In [19], a Hadoop-based big data solution is proposed for processing vehicle data such as RPM, speed, GPS location, etc., which are obtained by a Bluetooth On-Board Diagnostics (OBD) scan tool. The actual android mobile application is developed and this application enables users to see diagnostic information on the cloud.…”