Abstract Automatic Identification System (AIS) data holds immense research value in the
maritime industry because of its massive scale and the ability to reveal the spatial–temporal …

In recent years, as intelligent ship-navigation technology has advanced, the challenge of
accurately modeling and predicting the dynamic environment and motion status of ships has …

With the mandatory implementation of the automatic identification system and the rapid
advancement of relevant satellite communication technologies, a vast amount of vessel …

Obtaining ship navigation information from maritime videos can significantly improve
maritime supervision efficiency and enable timely safety warnings. Ship detection and …

A Vessel Traffic Service (VTS) plays a central role in maritime traffic safety. Regulations are
given by the International Maritime Organization (IMO) and Guidelines by the International …

Autonomous navigation is currently subject to particular interest for naval and commercial
vessels. In addition to the regulatory effort, several pieces of research tackled the …

The complex traffic situations are among the factors influencing maritime safety. They can be
quantitatively estimated through the analysis of traffic data. This paper explores the impact of …

The efficiency and safety of maritime traffic in a given area can be measured by analyzing
traffic density and ship collision probability. Maritime traffic density is the number of ships …

In this study, we propose a real-time ship anomaly detection method driven by Automatic
Identification System (AIS) data. The method uses ship trajectory clustering classes as a …

In order to detect multi-ship encounter situations and improve the safety of navigation, this
paper proposed a model which was able to mine multi-ship encounter situations from …