There are many chemical tanker ships on the market with very different characteristics.
However, their operational performance for cargo types remains uncertain. Also, it is unclear …

Predicting ship trajectories is significant for early warning of potential collision and reducing
the probability of marine accidents. Previously, multi-ship trajectories prediction methods …

To address the issue of precisely quantifying ship collision risk and identifying collision
hotspots in complex waters, this study proposed a regional ship collision risk assessment …

Ship trajectory prediction is crucial for maritime trade and navigational safety. In this paper,
we present a deep learning (DL) based trajectory prediction framework that can exploit the …

Using unmanned container ships (UCSs) to reduce the environmental impact and cost of
waterborne cargo transportation has become a prominent topic in maritime research. This …

In automated container terminals, the uninterrupted operation of the yard crane is crucial to
guarantee the working efficiency of the terminal. The interaction efficiency between …

Structural damage is a prevalent issue in long-term operations of harbor terminals.
Addressing the lack of transparency in terminal infrastructure components, the limited …

This study presents a method to support ship trajectory prediction at waterway confluences
using historical Automatic Identification System (AIS) data. The method is meant to improve …

Due to differences in speed and the complex interaction between merging and through-lane
vehicles at freeway merging sections, crashes involving both human drivers and automated …

There has been significant interest in the research field of ship automatic navigation,
particularly in the area of autonomous berthing. To address the key challenges of path …