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@article{ART002537630},
author={Bum-Soo Kim},
title={Design and Implementation of a Big Data Analytics Framework based on Cargo DTG Data for Crackdown on Overloaded Trucks},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2019},
volume={24},
number={12},
pages={67-74},
doi={10.9708/jksci.2019.24.12.067}

TY - JOUR
AU - Bum-Soo Kim
TI - Design and Implementation of a Big Data Analytics Framework based on Cargo DTG Data for Crackdown on Overloaded Trucks
JO - Journal of The Korea Society of Computer and Information
PY - 2019
VL - 24
IS - 12
PB - The Korean Society Of Computer And Information
SP - 67
EP - 74
SN - 1598-849X
AB - In this paper, we design and implement an analytics platform based on bulk cargo DTG data for crackdown on overloaded trucks. DTG(digital tachograph) is a device that stores the driving record in real time; that is, it is a device that records the vehicle driving related data such as GPS, speed, RPM, braking, and moving distance of the vehicle in one second unit. The fast processing of DTG data is essential for finding vehicle driving patterns and analytics. In particular, a big data analytics platform is required for preprocessing and converting large amounts of DTG data. In this paper, we implement a big data analytics framework based on cargo DTG data using Spark, which is an open source-based big data framework for crackdown on overloaded trucks. As the result of implementation, our proposed platform converts real large cargo DTG data sets into GIS data, and these are visualized by a map. It also recommends crackdown points.
KW - Big data;Cargo DTG;Spark framework;Preprocessing;GIS
DO - 10.9708/jksci.2019.24.12.067
ER -

Bum-Soo Kim. (2019). Design and Implementation of a Big Data Analytics Framework based on Cargo DTG Data for Crackdown on Overloaded Trucks. Journal of The Korea Society of Computer and Information, 24(12), 67-74.

Bum-Soo Kim. 2019, "Design and Implementation of a Big Data Analytics Framework based on Cargo DTG Data for Crackdown on Overloaded Trucks", Journal of The Korea Society of Computer and Information, vol.24, no.12 pp.67-74. Available from: doi:10.9708/jksci.2019.24.12.067

Bum-Soo Kim "Design and Implementation of a Big Data Analytics Framework based on Cargo DTG Data for Crackdown on Overloaded Trucks" Journal of The Korea Society of Computer and Information 24.12 pp.67-74 (2019) : 67.

Bum-Soo Kim. Design and Implementation of a Big Data Analytics Framework based on Cargo DTG Data for Crackdown on Overloaded Trucks. 2019; 24(12), 67-74. Available from: doi:10.9708/jksci.2019.24.12.067

Bum-Soo Kim. "Design and Implementation of a Big Data Analytics Framework based on Cargo DTG Data for Crackdown on Overloaded Trucks" Journal of The Korea Society of Computer and Information 24, no.12 (2019) : 67-74.doi: 10.9708/jksci.2019.24.12.067

Bum-Soo Kim. Design and Implementation of a Big Data Analytics Framework based on Cargo DTG Data for Crackdown on Overloaded Trucks. Journal of The Korea Society of Computer and Information, 24(12), 67-74. doi: 10.9708/jksci.2019.24.12.067

Bum-Soo Kim. Design and Implementation of a Big Data Analytics Framework based on Cargo DTG Data for Crackdown on Overloaded Trucks. Journal of The Korea Society of Computer and Information. 2019; 24(12) 67-74. doi: 10.9708/jksci.2019.24.12.067

Bum-Soo Kim. Design and Implementation of a Big Data Analytics Framework based on Cargo DTG Data for Crackdown on Overloaded Trucks. 2019; 24(12), 67-74. Available from: doi:10.9708/jksci.2019.24.12.067

Bum-Soo Kim. "Design and Implementation of a Big Data Analytics Framework based on Cargo DTG Data for Crackdown on Overloaded Trucks" Journal of The Korea Society of Computer and Information 24, no.12 (2019) : 67-74.doi: 10.9708/jksci.2019.24.12.067