[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 …

Metamodel-based simulation optimization: A systematic literature review

JVS do Amaral, JAB Montevechi… - … Modelling Practice and …, 2022 - Elsevier
Over the past few decades, modeling, simulation, and optimization tools have received
attention for their ability to represent and improve complex systems. The use of …

[HTML][HTML] AIS data-driven ship trajectory prediction modelling and analysis based on machine learning and deep learning methods

H Li, H Jiao, Z Yang - Transportation Research Part E: Logistics and …, 2023 - Elsevier
Maritime transport faces new safety challenges in an increasingly complex traffic
environment caused by large-scale and high-speed ships, particularly with the introduction …

An interpretable knowledge-based decision support method for ship collision avoidance using AIS data

J Zhang, J Liu, S Hirdaris, M Zhang, W Tian - Reliability engineering & …, 2023 - Elsevier
AIS data include ship spatial-temporal and motion parameters which can be used to
excavate the deep-seated information. In this article, an interpretable knowledge-based …

A novel data-driven method of ship collision risk evolution evaluation during real encounter situations

J Liu, J Zhang, Z Yang, C Wan, M Zhang - Reliability Engineering & System …, 2024 - Elsevier
Aiming at realizing collision risk quantitative evaluation among encounter ships, a novel
data-driven evolution model is proposed concerning encounter evolution in maritime …

A TDV attention-based BiGRU network for AIS-based vessel trajectory prediction

J Chen, J Zhang, H Chen, Y Zhao, H Wang - Iscience, 2023 - cell.com
Automatic identification system (AIS) is a vessel-based system for the automatic broadcast
and reception of vessel information, and it also supports data for trajectory prediction. Since …

FB-BiGRU: A Deep Learning model for AIS-based vessel trajectory curve fitting and analysis

J Chen, H Chen, Y Zhao, X Li - Ocean Engineering, 2022 - Elsevier
Abstract The marine vessel Automatic Identification System (AIS) broadcast is a system with
no-response mechanism, so there are missing data from the received AIS vessel trajectory …

Autonomous collision avoidance at sea: A survey

HC Burmeister, M Constapel - Frontiers in Robotics and AI, 2021 - frontiersin.org
In this survey, results from an investigation on collision avoidance and path planning
methods developed in recent research are provided. In particular, existing methods based …

Survey on cooperative collision avoidance research for ships

L Chen, Y Fu, P Chen, J Mou - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Communication among the ships can provide additional information that assists ships in
negotiating and collaborating with others to take effective actions. This article provides a …

[HTML][HTML] Vessel trajectory prediction with recurrent neural networks: An evaluation of datasets, features, and architectures

I Slaughter, JL Charla, M Siderius, J Lipor - Journal of Ocean Engineering …, 2024 - Elsevier
Maritime situational awareness tasks such as port management, collision avoidance, and
search-and-rescue missions rely on accurate knowledge of vessel locations. The availability …