[HTML][HTML] Ship trajectory prediction based on machine learning and deep learning: A systematic review and methods analysis
Ship trajectory prediction based on Automatic Identification System (AIS) data has attracted
increasing interest as it helps prevent collision accidents and eliminate potential …
increasing interest as it helps prevent collision accidents and eliminate potential …
[HTML][HTML] Data-driven Bayesian network for risk analysis of global maritime accidents
Maritime risk research often suffers from insufficient data for accurate prediction and
analysis. This paper aims to conduct a new risk analysis by incorporating the latest maritime …
analysis. This paper aims to conduct a new risk analysis by incorporating the latest maritime …
[HTML][HTML] AIS data-driven ship trajectory prediction modelling and analysis based on machine learning and deep learning methods
Maritime transport faces new safety challenges in an increasingly complex traffic
environment caused by large-scale and high-speed ships, particularly with the introduction …
environment caused by large-scale and high-speed ships, particularly with the introduction …
[HTML][HTML] Incorporation of AIS data-based machine learning into unsupervised route planning for maritime autonomous surface ships
Abstract Maritime Autonomous Surface Ships (MASS) are deemed as the future of maritime
transport. Although showing attractiveness in terms of the solutions to emerging challenges …
transport. Although showing attractiveness in terms of the solutions to emerging challenges …
Generation and application of maritime route networks: overview and future research directions
The development of advanced ship positioning and intelligent sensing technologies has
transformed navigation at sea, moving beyond reliance on captains' experience and …
transformed navigation at sea, moving beyond reliance on captains' experience and …
A deep learning method for the prediction of 6-DoF ship motions in real conditions
This paper presents a deep learning method for the prediction of ship motions in 6 Degrees
of Freedom (DoF). Big data streams of Automatic Identification System (AIS), now-cast, and …
of Freedom (DoF). Big data streams of Automatic Identification System (AIS), now-cast, and …
[HTML][HTML] Multi-scale collision risk estimation for maritime traffic in complex port waters
Ship collision risk estimation is an essential component of intelligent maritime surveillance
systems. Traditional risk estimation approaches, which can only analyze traffic risk in one …
systems. Traditional risk estimation approaches, which can only analyze traffic risk in one …
[HTML][HTML] Systems driven intelligent decision support methods for ship collision and grounding prevention: Present status, possible solutions, and challenges
Despite advancements in science and technology, ship collisions and groundings remain
the most prevalent types of maritime accidents. Recent developments in accident prevention …
the most prevalent types of maritime accidents. Recent developments in accident prevention …
[HTML][HTML] Deep bi-directional information-empowered ship trajectory prediction for maritime autonomous surface ships
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 …
traffic management of manned ships and emerging Maritime Autonomous Surface Ships …
[HTML][HTML] Maritime traffic partitioning: An adaptive semi-supervised spectral regularization approach for leveraging multi-graph evolutionary traffic interactions
Maritime situational awareness (MSA) has long been a critical focus within the domain of
maritime traffic surveillance and management. The increasing complexities of ship traffic …
maritime traffic surveillance and management. The increasing complexities of ship traffic …