Ship pollution emissions have attracted increasing attention in the maritime field due to the
massive growth of maritime traffic activities. It is important to identify the ship emissions (SEs) …

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 vessel trajectories is crucial for enhancing situational awareness and preventing
collisions at sea. However, achieving accurate and efficient predictions is challenging due to …

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

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 …

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 …

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 …

To address the issue of centrifugal force affecting the vertical load during the stability and
trajectory planning of autonomous vehicles during high-speed cornering and obstacle …

Efficient and rapid deployment of maritime search and rescue (MSAR) resources is a
prerequisite for maritime emergency search and rescue, in order to improve the efficiency …