@article{ART003063515},
author={Won-Hee Lee and Seung-Won Yoon and Da-Hyun Jang and Kyu-Chul Lee},
title={Deep Learning Research on Vessel Trajectory Prediction Based on AIS Data with Interpolation Techniques},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2024},
volume={29},
number={3},
pages={1-10},
doi={10.9708/jksci.2024.29.03.001}
TY - JOUR
AU - Won-Hee Lee
AU - Seung-Won Yoon
AU - Da-Hyun Jang
AU - Kyu-Chul Lee
TI - Deep Learning Research on Vessel Trajectory Prediction Based on AIS Data with Interpolation Techniques
JO - Journal of The Korea Society of Computer and Information
PY - 2024
VL - 29
IS - 3
PB - The Korean Society Of Computer And Information
SP - 1
EP - 10
SN - 1598-849X
AB - The research on predicting the routes of ships, which constitute the majority of maritime transportation, can detect potential hazards at sea in advance and prevent accidents. Unlike roads, there is no distinct signal system at sea, and traffic management is challenging, making ship route prediction essential for maritime safety. However, the time intervals of the ship route datasets are irregular due to communication disruptions. This study presents a method to adjust the time intervals of data using appropriate interpolation techniques for ship route prediction. Additionally, a deep learning model for predicting ship routes has been developed. This model is an LSTM model that predicts the future GPS coordinates of ships by understanding their movement patterns through real-time route information contained in AIS data. This paper presents a data preprocessing method using linear interpolation and a suitable deep learning model for ship route prediction. The experimental results demonstrate the effectiveness of the proposed method with an MSE of 0.0131 and an Accuracy of 0.9467.
KW - Trajectory Prediction;Interpolation;Deep Learning Model;AIS Data;Vessel
DO - 10.9708/jksci.2024.29.03.001
ER -
Won-Hee Lee, Seung-Won Yoon, Da-Hyun Jang and Kyu-Chul Lee. (2024). Deep Learning Research on Vessel Trajectory Prediction Based on AIS Data with Interpolation Techniques. Journal of The Korea Society of Computer and Information, 29(3), 1-10.
Won-Hee Lee, Seung-Won Yoon, Da-Hyun Jang and Kyu-Chul Lee. 2024, "Deep Learning Research on Vessel Trajectory Prediction Based on AIS Data with Interpolation Techniques", Journal of The Korea Society of Computer and Information, vol.29, no.3 pp.1-10. Available from: doi:10.9708/jksci.2024.29.03.001
Won-Hee Lee, Seung-Won Yoon, Da-Hyun Jang, Kyu-Chul Lee "Deep Learning Research on Vessel Trajectory Prediction Based on AIS Data with Interpolation Techniques" Journal of The Korea Society of Computer and Information 29.3 pp.1-10 (2024) : 1.
Won-Hee Lee, Seung-Won Yoon, Da-Hyun Jang, Kyu-Chul Lee. Deep Learning Research on Vessel Trajectory Prediction Based on AIS Data with Interpolation Techniques. 2024; 29(3), 1-10. Available from: doi:10.9708/jksci.2024.29.03.001
Won-Hee Lee, Seung-Won Yoon, Da-Hyun Jang and Kyu-Chul Lee. "Deep Learning Research on Vessel Trajectory Prediction Based on AIS Data with Interpolation Techniques" Journal of The Korea Society of Computer and Information 29, no.3 (2024) : 1-10.doi: 10.9708/jksci.2024.29.03.001
Won-Hee Lee; Seung-Won Yoon; Da-Hyun Jang; Kyu-Chul Lee. Deep Learning Research on Vessel Trajectory Prediction Based on AIS Data with Interpolation Techniques. Journal of The Korea Society of Computer and Information, 29(3), 1-10. doi: 10.9708/jksci.2024.29.03.001
Won-Hee Lee; Seung-Won Yoon; Da-Hyun Jang; Kyu-Chul Lee. Deep Learning Research on Vessel Trajectory Prediction Based on AIS Data with Interpolation Techniques. Journal of The Korea Society of Computer and Information. 2024; 29(3) 1-10. doi: 10.9708/jksci.2024.29.03.001
Won-Hee Lee, Seung-Won Yoon, Da-Hyun Jang, Kyu-Chul Lee. Deep Learning Research on Vessel Trajectory Prediction Based on AIS Data with Interpolation Techniques. 2024; 29(3), 1-10. Available from: doi:10.9708/jksci.2024.29.03.001
Won-Hee Lee, Seung-Won Yoon, Da-Hyun Jang and Kyu-Chul Lee. "Deep Learning Research on Vessel Trajectory Prediction Based on AIS Data with Interpolation Techniques" Journal of The Korea Society of Computer and Information 29, no.3 (2024) : 1-10.doi: 10.9708/jksci.2024.29.03.001
