@article{ART002758006},
author={NakJin Choi and SungJin Kim and YongWan Ju and Suh Sangmin and JaeHong Choi and Jundong Lee},
title={A Study on the Improvement of VDS Data Collection Algorithm Using Kalman Filter},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2021},
volume={26},
number={9},
pages={133-141},
doi={10.9708/jksci.2021.26.09.133}
TY - JOUR
AU - NakJin Choi
AU - SungJin Kim
AU - YongWan Ju
AU - Suh Sangmin
AU - JaeHong Choi
AU - Jundong Lee
TI - A Study on the Improvement of VDS Data Collection Algorithm Using Kalman Filter
JO - Journal of The Korea Society of Computer and Information
PY - 2021
VL - 26
IS - 9
PB - The Korean Society Of Computer And Information
SP - 133
EP - 141
SN - 1598-849X
AB - The development and demand for the system that provides users with traffic information and efficient road use have continued. also, this system provides the basic technology of the Intelligent Transport System (ITS).
The most used traffic information collection tools are Vehicle detectors (VDS) and short-range wireless communication (DSRC) on express way. In order to generate reliable traffic information, it is necessary to efficiently manage and utilize the collected data as well as high-quality traffic data collection and processing technology.
In this study, traffic information collection⋅ processing⋅provision systems were investigated, and analyze the current status and problems of traffic information collected through VDS. Based on this, we would like to present an improved collection algorithm that utilizes the Kalman filter for vehicle information measurement of VDS data. By using the algorithm of this study, it is possible to minimize the time delay of the estimated value as well as the noise removal that inevitably occurs during measurement.
KW - ITS;VDS;DSRC;Kalman filter;traffic information
DO - 10.9708/jksci.2021.26.09.133
ER -
NakJin Choi, SungJin Kim, YongWan Ju, Suh Sangmin, JaeHong Choi and Jundong Lee. (2021). A Study on the Improvement of VDS Data Collection Algorithm Using Kalman Filter. Journal of The Korea Society of Computer and Information, 26(9), 133-141.
NakJin Choi, SungJin Kim, YongWan Ju, Suh Sangmin, JaeHong Choi and Jundong Lee. 2021, "A Study on the Improvement of VDS Data Collection Algorithm Using Kalman Filter", Journal of The Korea Society of Computer and Information, vol.26, no.9 pp.133-141. Available from: doi:10.9708/jksci.2021.26.09.133
NakJin Choi, SungJin Kim, YongWan Ju, Suh Sangmin, JaeHong Choi, Jundong Lee "A Study on the Improvement of VDS Data Collection Algorithm Using Kalman Filter" Journal of The Korea Society of Computer and Information 26.9 pp.133-141 (2021) : 133.
NakJin Choi, SungJin Kim, YongWan Ju, Suh Sangmin, JaeHong Choi, Jundong Lee. A Study on the Improvement of VDS Data Collection Algorithm Using Kalman Filter. 2021; 26(9), 133-141. Available from: doi:10.9708/jksci.2021.26.09.133
NakJin Choi, SungJin Kim, YongWan Ju, Suh Sangmin, JaeHong Choi and Jundong Lee. "A Study on the Improvement of VDS Data Collection Algorithm Using Kalman Filter" Journal of The Korea Society of Computer and Information 26, no.9 (2021) : 133-141.doi: 10.9708/jksci.2021.26.09.133
NakJin Choi; SungJin Kim; YongWan Ju; Suh Sangmin; JaeHong Choi; Jundong Lee. A Study on the Improvement of VDS Data Collection Algorithm Using Kalman Filter. Journal of The Korea Society of Computer and Information, 26(9), 133-141. doi: 10.9708/jksci.2021.26.09.133
NakJin Choi; SungJin Kim; YongWan Ju; Suh Sangmin; JaeHong Choi; Jundong Lee. A Study on the Improvement of VDS Data Collection Algorithm Using Kalman Filter. Journal of The Korea Society of Computer and Information. 2021; 26(9) 133-141. doi: 10.9708/jksci.2021.26.09.133
NakJin Choi, SungJin Kim, YongWan Ju, Suh Sangmin, JaeHong Choi, Jundong Lee. A Study on the Improvement of VDS Data Collection Algorithm Using Kalman Filter. 2021; 26(9), 133-141. Available from: doi:10.9708/jksci.2021.26.09.133
NakJin Choi, SungJin Kim, YongWan Ju, Suh Sangmin, JaeHong Choi and Jundong Lee. "A Study on the Improvement of VDS Data Collection Algorithm Using Kalman Filter" Journal of The Korea Society of Computer and Information 26, no.9 (2021) : 133-141.doi: 10.9708/jksci.2021.26.09.133