STMGCN: Mobile edge computing-empowered vessel trajectory prediction using spatio-temporal multigraph convolutional network

RW Liu, M Liang, J Nie, Y Yuan, Z Xiong… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The revolutionary advances in machine learning and data mining techniques have
contributed greatly to the rapid developments of maritime Internet of Things (IoT). In maritime …

Deep learning-powered vessel trajectory prediction for improving smart traffic services in maritime Internet of Things

RW Liu, M Liang, J Nie, WYB Lim… - … on Network Science …, 2022 - ieeexplore.ieee.org
The maritime Internet of Things (IoT) has recently emerged as a revolutionary
communication paradigm where a large number of moving vessels are closely …

Spatio-temporal multi-graph transformer network for joint prediction of multiple vessel trajectories

RW Liu, W Zheng, M Liang - Engineering Applications of Artificial …, 2024 - Elsevier
The vessel trajectory prediction plays a vital role in guaranteeing traffic safety for unmanned
surface vehicles and autonomous surface vessels. By leveraging advanced satellite …

[HTML][HTML] Deep bi-directional information-empowered ship trajectory prediction for maritime autonomous surface ships

H Li, W Xing, H Jiao, Z Yang, Y Li - Transportation Research Part E …, 2024 - Elsevier
It is critical to have accurate ship trajectory prediction for collision avoidance and intelligent
traffic management of manned ships and emerging Maritime Autonomous Surface Ships …

A novel method for ship trajectory prediction in complex scenarios based on spatio-temporal features extraction of AIS data

S Wang, Y Li, H Xing - Ocean Engineering, 2023 - Elsevier
Ship trajectory prediction plays a key role in the early warning and safety of maritime
navigation. Ship pilots must have a complete grasp of the future trajectories of ships within a …

k-GCN-LSTM: A k-hop Graph Convolutional Network and Long–Short-Term Memory for ship speed prediction

J Zhao, Z Yan, X Chen, B Han, S Wu, R Ke - Physica A: Statistical …, 2022 - Elsevier
Ship speed information plays an important role in the maritime intelligent transportation
system, and ship speed prediction has attracted extensive attention in maritime community …

Vessel trajectory prediction in maritime transportation: Current approaches and beyond

X Zhang, X Fu, Z Xiao, H Xu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The growing availability of maritime IoT traffic data and continuous expansion of the
maritime traffic volume, serving as the driving fuel, propel the latest Artificial Intelligence (AI) …

A new method of inland water ship trajectory prediction based on long short-term memory network optimized by genetic algorithm

L Qian, Y Zheng, L Li, Y Ma, C Zhou, D Zhang - Applied Sciences, 2022 - mdpi.com
Ship position prediction plays a key role in the early warning and safety of inland waters and
maritime navigation. Ship pilots must have in-depth knowledge of the future position of their …

Using deep learning to forecast maritime vessel flows

X Zhou, Z Liu, F Wang, Y Xie, X Zhang - Sensors, 2020 - mdpi.com
Forecasting vessel flows is important to the development of intelligent transportation systems
in the maritime field, as real-time and accurate traffic information has favorable potential in …

A ship trajectory prediction method based on GAT and LSTM

J Zhao, Z Yan, ZZ Zhou, X Chen, B Wu, S Wang - Ocean Engineering, 2023 - Elsevier
Ship trajectory prediction plays an important role in ship route planning and collision
avoidance in the development of autonomous ships. Previous models related to ship …