Ship trajectory prediction based on Automatic Identification System (AIS) data has attracted
increasing interest as it helps prevent collision accidents and eliminate potential …

Collision prevention is critical for navigation safety at sea. At early ages, researchers aimed
at develo** navigational assistance systems for enhancing situational awareness of …

Maritime transport faces new safety challenges in an increasingly complex traffic
environment caused by large-scale and high-speed ships, particularly with the introduction …

The maritime Internet of Things (IoT) has recently emerged as a revolutionary
communication paradigm where a large number of moving vessels are closely …

The revolutionary advances in machine learning and data mining techniques have
contributed greatly to the rapid developments of maritime Internet of Things (IoT). In maritime …

This paper presents a big data analytics method for the proactive mitigation of grounding
risk. The model encompasses the dynamics of ship motion trajectories while accounting for …

This paper presents a big data analytics method for the evaluation of ship-ship collision risk
in real operational conditions. The approach makes use of big data from Automatic …

Ship position prediction is the key to inland river and sea navigation warning. Maritime traffic
control centers, according to ship position monitoring, ship position prediction and early …

It is critical to have accurate ship trajectory prediction for collision avoidance and intelligent
traffic management of manned ships and emerging Maritime Autonomous Surface Ships …

This study presents a deep learning framework to support regional ship behavior prediction
using historical AIS data. The framework is meant to aid in proactive collision avoidance, in …