The complexity and diversity of ship traffic conditions have burdened maritime safety
because of the increasing maritime transportation, especially in the waters around busy …

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 …

Vessel navigation pattern recognition plays an important role in the research of intelligent
transportation on water. Clustering using the data stored in The Automatic Identification …

Vessel trajectory clustering, a crucial component of the maritime intelligent transportation
systems, provides valuable insights for applications such as anomaly detection and …

Abstract The vessel Automatic Identification System (AIS) data collected by satellites have
the features of large coverage area and large data volume, and they are instantaneous …

The increasing volume of ship traffic has resulted in new challenges for the supervision of
maritime safety administration. The conventional manual monitoring approach for maritime …

Recognition of ship traffic patterns can provide insights into the rules of navigation,
maneuvering, and collision avoidance for ships at sea. This is essential for ensuring safe …

Trajectory clustering algorithms analyze the movement trajectory of the target objects to
mine the potential movement trend, regularity, and behavioral patterns of the object …

Vessel trajectory clustering, which aims to find similar trajectory patterns, has been widely
leveraged in maritime applications. Most traditional methods use predefined rules and …

Automatic identification system (AIS) data record a ship's position, speed over ground
(SOG), course over ground (COG), and other behavioral attributes at specific time intervals …