Title :
An intelligent vehicular telematics platform for vehicle driving safety supporting system
Author :
Liang-Bi Chen;Hong-Yuan Li;Wan-Jung Chang;Jing-Jou Tang;Katherine Shu-Min Li
Author_Institution :
Department of Computer Science and Engineering, National Sun Yat-Sen University, Kaohsiung, Taiwan
Abstract :
This paper proposes an intelligent vehicular telematics platform, which consists of an in-vehicle device connecting the CAN bus with an ODB-II bridge construction, and a mobile application software on smartphone for vehicle driving safety. The proposed platform can real-time monitor vehicular information (such as vehicle engine speed, oxygen, speed per hour, and water temperature), which can efficiently reduce major accidents occurrence ratio. Moreover, the proposed platform also provides immediate vehicle location GPS coordinates and date that can effectively help to recover the lost vehicles.
Keywords :
"Vehicles","Safety","Accidents","Telematics","Vehicle driving","Maintenance engineering","Artificial intelligence"
Conference_Titel :
Connected Vehicles and Expo (ICCVE), 2015 International Conference on
Electronic_ISBN :
2378-1297
DOI :
10.1109/ICCVE.2015.9