Driving Habits Analysis Using OBD-II Data Clustering

Title : Driving Habits Analysis Using OBD-II Data Clustering
Published in : The 1st International Conference on ICT for Smart Health (ICT4sHealth 2017)
Author : Fei Hao, Sangwook Han, Minsu Chae, HwaMin Lee
Corresponding author : HwaMin Lee
Location : Sokha Phnom Penh Hotel, Phnom Penh, Cambodia

Abstract
There are various systems and applications that use OBDII to check the status of the vehicle using data obtained from the vehicle. However, OBD products that are available in the market are mainly used for vehicle driving information and vehicle diagnosis services. This paper research a method to provide useful information to analyze driver ‘s driving habits using vehicle data. The RPM information extracted from the vehicle is classified into three types using the K-means algorithm, and the directions for how to use it for driving habit analysis are presented. It is very important to inform the driver of driving habits using vehicle data. It is possible not only to prevent a car accident but also to lower the probability of failure of the car and to improve the fuel efficiency.

Acknowledgments
This research was supported by the MSIT(Ministry of Science and ICT), Korea, under the ITRC(Information Technology Research Center) support program(IITP-2017-2014-0-00720 & IITP-2017-2015-0-00403) supervised by the IITP(Institute for Information & communications Technology Promotion)