Results 11 to 20 of about 2,658,467 (271)

Artificial Intelligence in Ship Trajectory Prediction

Journal of Marine Science and Engineering
Maritime traffic is increasing more and more, creating more complex navigation environments for ships. Ship trajectory prediction based on historical AIS data is a vital method of reducing navigation risks and enhancing the efficiency of maritime traffic
Jinqiang Bi, Hongen Cheng, Wenjia Zhang, Kexin Bao, Peiren Wang   +4 more
doaj   +3 more sources

Research on Ship Trajectory Prediction Method Based on Difference Long Short-Term Memory

Journal of Marine Science and Engineering, 2023
This study proposes a solution to the problem of inaccurate and time-consuming ship trajectory prediction caused by frequent ship maneuvering in complex waterways.
Xiaobin Tian, Yongfeng Suo
doaj   +2 more sources

Ship Trajectory Prediction: An Integrated Approach Using ConvLSTM-Based Sequence-to-Sequence Model

Journal of Marine Science and Engineering, 2023
Maritime transportation is one of the major contributors to the development of the global economy. To ensure its safety and reduce the occurrence of a maritime accident, intelligent maritime monitoring and ship behavior identification have been drawing ...
Wenxiong Wu, Pengfei Chen, Linying Chen, Junmin Mou   +3 more
doaj   +2 more sources

Construction of a Real-Time Ship Trajectory Prediction Model Based on Ship Automatic Identification System Data

ISPRS International Journal of Geo-Information, 2023
The extraction of ship behavior patterns from Automatic Identification System (AIS) data and the subsequent prediction of travel routes play crucial roles in mitigating the risk of ship accidents.
Daping Xi, Yuhao Feng, Wenping Jiang, Nai Yang, Xini Hu, Chuyuan Wang   +5 more
doaj   +2 more sources

GL-STGCNN: Enhancing Multi-Ship Trajectory Prediction with MPC Correction

Journal of Marine Science and Engineering
In addressing the challenges of trajectory prediction in multi-ship interaction scenarios and aiming to improve the accuracy of multi-ship trajectory prediction, this paper proposes a multi-ship trajectory prediction model, GL-STGCNN. The GL-STGCNN model
Yuegao Wu, Wanneng Yv, Guangmiao Zeng, Yifan Shang, Weiqiang Liao   +4 more
doaj   +2 more sources

Optimization of LSTM Ship Trajectory Prediction Based on Hybrid Genetic Algorithm [PDF]

Journal of Geodesy and Geoinformation Science
Accurate prediction of the movement trajectory of sea surface targets holds significant importance in achieving an advantageous position in the sea battle field.
ZHAO Pengfei
doaj   +3 more sources

Ship Trajectory Prediction in Complex Waterways Based on Transformer and Social Variational Autoencoder (SocialVAE)

Journal of Marine Science and Engineering
Ship trajectory prediction plays a key role in the early warning and safety of maritime traffic. It is a necessary assistant tool that can forecast a ship’s trajectory in a certain period to prevent ship collision.
Pengyue Wang, Mingyang Pan, Zongying Liu, Shaoxi Li, Yuanlong Chen, Yang Wei   +5 more
doaj   +2 more sources

Ship Trajectory Classification Prediction at Waterway Confluences: An Improved KNN Approach

Journal of Marine Science and Engineering
This study presents a method to support ship trajectory prediction at waterway confluences using historical Automatic Identification System (AIS) data.
Zhiyuan Wang, Wei He, Jiafen Lan, Chuanguang Zhu, Jinyu Lei, Xinglong Liu   +5 more
doaj   +2 more sources

A New Method of Inland Water Ship Trajectory Prediction Based on Long Short-Term Memory Network Optimized by Genetic Algorithm

Applied Sciences, 2022
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 ship and target ship in a specific time period when maneuvering ...
Long Qian, Yuanzhou Zheng, Lei Li, Yong Ma, Chunhui Zhou, Dongfang Zhang   +5 more
doaj   +2 more sources

Ship Trajectory Prediction Based on CNN-MTABiGRU Model

IEEE Access
To address the limitations of traditional neural networks in extracting ship trajectory sequence features and achieving the required accuracy for ShenZhong Link navigation, this paper proposes an improved model, CNN-MTABiGRU, which integrates a temporal ...
Xinyu Dong, S. Selvakumar Raja, Jian Zhang, Leiyu Wang   +3 more
doaj   +3 more sources