Maritime traffic service networks and information systems play a vital role in maritime traffic
safety management. The data collected from the maritime traffic networks are essential for …

Since the introduction of the Automatic Identification System (AIS), AIS data has proven to be
a valuable source of ship behavior analysis using data mining. It records ship position …

In ports and waterways, the impacts of external navigational factors may lead to serious
incidents due to limited space for ship maneuvering. Using nautical traffic models, these …

Maritime traffic prediction is critical for ocean transportation safety management. In this
paper, we propose a novel knowledge assisted methodology for maritime traffic forecasting …

Currently, the research on ship behavior during encounters focuses on evasive behavior
during specific situations with existing risks of collision. However, the preliminary selection of …

In recent years, marine traffic has increased dramatically. Therefore, some vessels may
show abnormal behaviors which may indicate different dangers or threats, and also …

Currently, marine ship targets are often identified directly through sensing targets. As a
result, the potential value of massive spatiotemporal data has not been fully utilized …

Due to the increasing ship traffic flow in ports, maritime traffic safety has attracted much
attention. In addition to traffic flow, the ship safety in restricted waters is influenced by …

Due to significant advances in robotics and transportation, research on autonomous ships
has attracted considerable attention. The most critical task is to make the ships capable of …

The continuous over exploitation of marine resources has triggered a progressive expansion
of fishing fleets to deeper waters, threatening marine communities and ecosystems. The …