[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] 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] 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 …
[HTML][HTML] Deep learning-powered vessel traffic flow prediction with spatial-temporal attributes and similarity grouping
Perceiving the future trend of Vessel Traffic Flow (VTF) in advance has great application
values in the maritime industry. However, using such big data from the Automatic …
values in the maritime industry. However, using such big data from the Automatic …
[HTML][HTML] A data-driven risk model for maritime casualty analysis: A global perspective
Maritime casualty analysis needs to be addressed given the increasing safety demand in the
field due to the accidents' low-frequency and high-consequence features. This paper aims to …
field due to the accidents' low-frequency and high-consequence features. This paper aims to …
[HTML][HTML] A hierarchical methodology for vessel traffic flow prediction using Bayesian tensor decomposition and similarity grouping
Accurate vessel traffic flow (VTF) prediction can enhance navigation safety and economic
efficiency. To address the challenge of the inherently complex and dynamic growth of the …
efficiency. To address the challenge of the inherently complex and dynamic growth of the …
Coordinated multi-stage and multi-objective optimization approach for ship collision avoidance decision-making
Appropriate decision-making is essential to prevent ship collisions and further ensure
navigational safety at sea. Current research on collision avoidance decision-making …
navigational safety at sea. Current research on collision avoidance decision-making …
Trends of digitalization, intelligence and greening of global shipping industry based on CiteSpace Knowledge Graph
The focus topic of global shipping industry has switched in recent five years with the
emergence of advanced technologies, and the methods have progressed with the …
emergence of advanced technologies, and the methods have progressed with the …
[HTML][HTML] Incorporation of adaptive compression into a GPU parallel computing framework for analyzing large-scale vessel trajectories
Abstract Automatic Identification System (AIS) offers a wealth of vessel navigation data,
which underpins research in maritime data mining, situational awareness, and knowledge …
which underpins research in maritime data mining, situational awareness, and knowledge …