@article{ART002899791},
author={Jeong-In Park},
title={Development of Left Turn Response System Based on LiDAR for Traffic Signal Control},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2022},
volume={27},
number={11},
pages={181-190},
doi={10.9708/jksci.2022.27.11.181}
TY - JOUR
AU - Jeong-In Park
TI - Development of Left Turn Response System Based on LiDAR for Traffic Signal Control
JO - Journal of The Korea Society of Computer and Information
PY - 2022
VL - 27
IS - 11
PB - The Korean Society Of Computer And Information
SP - 181
EP - 190
SN - 1598-849X
AB - In this paper, we use a LiDAR sensor and an image camera to detect a left-turning waiting vehicle in two ways, unlike the existing image-type or loop-type left-turn detection system, and a left-turn traffic signal corresponding to the waiting length of the left-turning lane. A system that can efficiently assign a system is introduced. For the LiDAR signal transmitted and received by the LiDAR sensor, the left-turn waiting vehicle is detected in real time, and the image by the video camera is analyzed in real time or at regular intervals, thereby reducing unnecessary computational processing and enabling real-time sensitive processing. As a result of performing a performance test for 5 hours every day for one week with an intersection simulation using an actual signal processor, a detection rate of 99.9%, which was improved by 3% to 5% compared to the existing method, was recorded. The advantage is that 99.9% of vehicles waiting to turn left are detected by the LiDAR sensor, and even if an intentional omission of detection occurs, an immediate response is possible through self-correction using the video, so the excessive waiting time of vehicles waiting to turn left is controlled by all lanes in the intersection. was able to guide the flow of traffic smoothly. In addition, when applied to an intersection in the outskirts of which left-turning vehicles are rare, service reliability and efficiency can be improved by reducing unnecessary signal costs.
KW - LiDAR;Left turn response;Signal control;Waiting vehicle;Real-time response
DO - 10.9708/jksci.2022.27.11.181
ER -
Jeong-In Park. (2022). Development of Left Turn Response System Based on LiDAR for Traffic Signal Control. Journal of The Korea Society of Computer and Information, 27(11), 181-190.
Jeong-In Park. 2022, "Development of Left Turn Response System Based on LiDAR for Traffic Signal Control", Journal of The Korea Society of Computer and Information, vol.27, no.11 pp.181-190. Available from: doi:10.9708/jksci.2022.27.11.181
Jeong-In Park "Development of Left Turn Response System Based on LiDAR for Traffic Signal Control" Journal of The Korea Society of Computer and Information 27.11 pp.181-190 (2022) : 181.
Jeong-In Park. Development of Left Turn Response System Based on LiDAR for Traffic Signal Control. 2022; 27(11), 181-190. Available from: doi:10.9708/jksci.2022.27.11.181
Jeong-In Park. "Development of Left Turn Response System Based on LiDAR for Traffic Signal Control" Journal of The Korea Society of Computer and Information 27, no.11 (2022) : 181-190.doi: 10.9708/jksci.2022.27.11.181
Jeong-In Park. Development of Left Turn Response System Based on LiDAR for Traffic Signal Control. Journal of The Korea Society of Computer and Information, 27(11), 181-190. doi: 10.9708/jksci.2022.27.11.181
Jeong-In Park. Development of Left Turn Response System Based on LiDAR for Traffic Signal Control. Journal of The Korea Society of Computer and Information. 2022; 27(11) 181-190. doi: 10.9708/jksci.2022.27.11.181
Jeong-In Park. Development of Left Turn Response System Based on LiDAR for Traffic Signal Control. 2022; 27(11), 181-190. Available from: doi:10.9708/jksci.2022.27.11.181
Jeong-In Park. "Development of Left Turn Response System Based on LiDAR for Traffic Signal Control" Journal of The Korea Society of Computer and Information 27, no.11 (2022) : 181-190.doi: 10.9708/jksci.2022.27.11.181
