Energy management system for hybrid ship: Status and perspectives
With the growing concerns over energy scarcity and environmental degradation, multi-
energy hybrid propulsion systems are emerging as a vital innovation for the future of …
energy hybrid propulsion systems are emerging as a vital innovation for the future of …
[HTML][HTML] A big data analytics method for the evaluation of ship-ship collision risk reflecting hydrometeorological conditions
This paper presents a big data analytics method for the evaluation of ship-ship collision risk
in real operational conditions. The approach makes use of big data from Automatic …
in real operational conditions. The approach makes use of big data from Automatic …
[HTML][HTML] A machine learning method for the evaluation of ship grounding risk in real operational conditions
Ship groundings may often lead to damages resulting in oil spills or ship flooding and
subsequent capsizing. Risks can be estimated qualitatively through experts' judgment or …
subsequent capsizing. Risks can be estimated qualitatively through experts' judgment or …
An interpretable knowledge-based decision support method for ship collision avoidance using AIS data
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 …
excavate the deep-seated information. In this article, an interpretable knowledge-based …
Data mining approach to shipping route characterization and anomaly detection based on AIS data
A data mining approach is presented for probabilistic characterization of maritime traffic and
anomaly detection. The approach automatically groups historical traffic data provided by the …
anomaly detection. The approach automatically groups historical traffic data provided by the …
Review of maritime traffic models from vessel behavior modeling perspective
The importance of maritime transport keeps increasing with the trade globalization. With the
growing demand for waterborne transport, vessel traffic flows are also expected to increase …
growing demand for waterborne transport, vessel traffic flows are also expected to increase …
Maritime traffic probabilistic prediction based on ship motion pattern extraction
This paper proposes a novel maritime traffic prediction method based on ship motion pattern
extraction, considering ship destination prediction and ship trajectory prediction within a …
extraction, considering ship destination prediction and ship trajectory prediction within a …
[HTML][HTML] A dual linear autoencoder approach for vessel trajectory prediction using historical AIS data
Advances in artificial intelligence are driving the development of intelligent transportation
systems, with the purpose of enhancing the safety and efficiency of such systems. One of the …
systems, with the purpose of enhancing the safety and efficiency of such systems. One of the …
Marine vessel classification and multivariate trajectories forecasting using metaheuristics-optimized extreme gradient boosting and recurrent neural networks
Maritime vessels provide a wealth of data concerning location, trajectories, and speed.
However, while these data are meticulously monitored and logged to maintain course, they …
However, while these data are meticulously monitored and logged to maintain course, they …
[HTML][HTML] An empirical ship domain based on evasive maneuver and perceived collision risk
This paper introduced a new ship domain concept and an analytical framework. The ship
domain takes the point of the ship's first evasive maneuver as a basis and correlates it with …
domain takes the point of the ship's first evasive maneuver as a basis and correlates it with …