Vessel trajectory prediction model based on AIS sensor data and adaptive chaos differential evolution support vector regression (ACDE-SVR)

J Liu, G Shi, K Zhu - Applied Sciences, 2019 - mdpi.com
Featured Application Authors are encouraged to provide a concise description of the specific
application or a potential application of the work. This section is not mandatory. Abstract …

Real-time ship motion prediction based on adaptive wavelet transform and dynamic neural network

N Gao, A Hu, L Hou, X Chang - Ocean Engineering, 2023 - Elsevier
Ship motion attitude is the time series data with highly nonlinear and non-stationary
characteristics significantly affected by environmental factors. To accurately predict the ship …

[PDF][PDF] Trajectory prediction of vessels based on data mining and machine learning

L Qi, Z Zheng - J. Digit. Inf. Manage, 2016 - dline.info
With the development of marine traffic information digitalization, proactive information
service has become increasingly important in maritime intelligent traffic systems (ITS) …

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 …

[HTML][HTML] Ship trajectory prediction based on machine learning and deep learning: A systematic review and methods analysis

H Li, H Jiao, Z Yang - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Ship trajectory prediction based on Automatic Identification System (AIS) data has attracted
increasing interest as it helps prevent collision accidents and eliminate potential …

A deep learning model for ship trajectory prediction using automatic identification system (AIS) data

X Wang, Y Xiao - Information, 2023 - mdpi.com
The rapid growth of ship traffic leads to traffic congestion, which causes maritime accidents.
Accurate ship trajectory prediction can improve the efficiency of navigation and maritime …

AIS-based intelligent vessel trajectory prediction using bi-LSTM

CH Yang, CH Wu, JC Shao, YC Wang… - IEEE Access, 2022 - ieeexplore.ieee.org
Accurate vessel trajectory prediction is essential for maritime traffic control and
management. In addition to collision avoidance, accurate vessel trajectory prediction can …

QSD-LSTM: Vessel trajectory prediction using long short-term memory with quaternion ship domain

RW Liu, K Hu, M Liang, Y Li, X Liu, D Yang - Applied Ocean Research, 2023 - Elsevier
Vessel trajectory prediction is a critical aspect of ensuring maritime traffic safety and
avoiding collisions. The long short-term memory (LSTM) network and its extensions have …

Ship navigation behavior prediction based on AIS data

T Liu, J Ma - IEEE Access, 2022 - ieeexplore.ieee.org
Real-time and accurate ship navigation dynamic prediction can effectively improve maritime
supervision's intelligence and precision level and ensure ship navigation safety. To further …

Sine-SSA-BP ship trajectory prediction based on chaotic mapping improved sparrow search algorithm

Y Zheng, L Li, L Qian, B Cheng, W Hou, Y Zhuang - Sensors, 2023 - mdpi.com
Objective: In this paper, we propose a Sine chaos mapping-based improved sparrow search
algorithm (SSA) to optimize the BP neural network for trajectory prediction of inland river …