Results 1 to 10 of about 1,621 (113)

A Ship Trajectory Prediction Framework Based on a Recurrent Neural Network [PDF]

Sensors, 2020
Ship trajectory prediction is a key requisite for maritime navigation early warning and safety, but accuracy and computation efficiency are major issues still to be resolved. The research presented in this paper introduces a deep learning framework and a
Yongfeng Suo, Wenke Chen, Christophe Claramunt, Shenhua Yang   +3 more
doaj   +2 more sources

Research into Ship Trajectory Prediction Based on An Improved LSTM Network

Journal of Marine Science and Engineering, 2023
The establishment of ship trajectory prediction is critical in analyzing trajectory data. It serves as a critical reference point for identifying abnormal behavior and potential collision risks for ships. Accurate and real-time ship trajectory prediction
Jiangnan Zhang, Hai Wang, Fengjuan Cui, Yongshuo Liu, Zhenxing Liu, Junyu Dong   +5 more
doaj   +3 more sources

An Improved Ship Trajectory Prediction Based on AIS Data Using MHA-BiGRU

Journal of Marine Science and Engineering, 2022
According to the statistics of water transportation accidents, collision accidents are on the rise as the shipping industry has expanded by leaps and bounds, and the water transportation environment has become more complex, which can result in grave ...
Kexin Bao, Jinqiang Bi, Miao Gao, Yue Sun, Xuefeng Zhang, Wenjia Zhang   +5 more
doaj   +3 more sources

Ship Trajectory Prediction Based on Bi-LSTM Using Spectral-Clustered AIS Data

Journal of Marine Science and Engineering, 2021
According to the statistics of maritime accidents, most collision accidents have been caused by human factors. In an encounter situation, the prediction of ship’s trajectory is a good way to notice the intention of the other ship.
Jinwan Park, Jungsik Jeong, Youngsoo Park   +2 more
doaj   +3 more sources

Maritime traffic congestion identification and ship trajectory prediction using temporal graph convolutional networks. [PDF]

PLoS ONE
With the rapid growth of global maritime trade, the efficient and safe management of maritime traffic has become increasingly critical. This study proposes a comprehensive framework for ship trajectory prediction and maritime traffic congestion ...
Weiping Zhou, Weiming Zhang, Shihu Sun, Yuquan Zhang   +3 more
doaj   +2 more sources

Maritime Trajectory Forecasting via CNN–SOFTS-Based Coupled Spatio-Temporal Features [PDF]

Sensors
Spatio-temporal features are crucial for maritime trajectory forecasting, especially in scenarios involving curved waterways or abrupt changes in ship motion patterns.
Yongfeng Suo, Chunyu Yang, Gaocai Li, Qiang Mei, Lei Cui   +4 more
doaj   +2 more sources

The Ship Movement Trajectory Prediction Algorithm Using Navigational Data Fusion

Sensors, 2017
It is essential for the marine navigator conducting maneuvers of his ship at sea to know future positions of himself and target ships in a specific time span to effectively solve collision situations.
Piotr Borkowski
doaj   +3 more sources

A Hybrid Prediction Model Based on KNN-LSTM for Vessel Trajectory

Mathematics, 2022
Trajectory prediction technology uses the trajectory data of historical ships to predict future ship trajectory, which has significant application value in the field of ship driving and ship management. With the popularization of Automatic Identification
Lixiang Zhang, Yian Zhu, Jiang Su, Wei Lu, Jiayu Li, Ye Yao   +5 more
doaj   +1 more source

Automatic Identification System (AIS) Data Supported Ship Trajectory Prediction and Analysis via a Deep Learning Model

Journal of Marine Science and Engineering, 2022
Automatic Identification System (AIS) data-supported ship trajectory analysis consistently helps maritime regulations and practitioners make reasonable traffic controlling and management decisions.
Xinqiang Chen, Chenxin Wei, Guiliang Zhou, Huafeng Wu, Zhongyu Wang, Salvatore Antonio Biancardo   +5 more
doaj   +1 more source

M-STCP: an online ship trajectory cleaning and prediction algorithm using matrix neural networks

Frontiers in Marine Science, 2023
Accurate prediction of ship trajectories is crucial to guarantee the safety of maritime navigation. In this paper, a matrix neural network-based online ship track cleaning and prediction algorithm called M-STCP is suggested to forecast ship tracks ...
Shuai Guo, Meng Sun, Huanqun Xue, Xiaodong Mao, Shuang Wang, Chao Liu   +5 more
doaj   +1 more source