This paper presents a comprehensive review of the current regulations and the various
technologies as well as the decision support methods for each technology the maritime …

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

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 growing availability of maritime IoT traffic data and continuous expansion of the
maritime traffic volume, serving as the driving fuel, propel the latest Artificial Intelligence (AI) …

In order to achieve sustainable development of marine fishery resources, effective supervise
of trawl fishing during forbidden fishing period is of great significance. This paper addresses …

The information-rich vessel movement data provided by the Automatic Identification System
(AIS) has gained much popularity over the past decade, during which the employment of …

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 …

Autonomous ships are expected to improve the level of safety and efficiency in future
maritime navigation. Such vessels need perception for two purposes: to perform …