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

In recent years, the European Commission and the International Maritime Organization
(IMO) implemented various operational measures and policies to reduce ship fuel …

Abstract Maritime Autonomous Surface Ships (MASS) are deemed as the future of maritime
transport. Although showing attractiveness in terms of the solutions to emerging challenges …

Maritime situational awareness (MSA) has long been a critical focus within the domain of
maritime traffic surveillance and management. The increasing complexities of ship traffic …

Maritime casualty analysis needs to be addressed given the increasing safety demand in the
field due to the accidents' low-frequency and high-consequence features. This paper aims to …

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 …

In the digital age, supported by disruptive technologies such as artificial intelligence (AI),
blockchain (BC), digital twins (DT), and extended reality (ER), the use of metaverse for real …

Maritime accident research has primarily focused on characteristics and risk analysis, which
often overlooks the evolution of the associated risk patterns over time. This study aims to …

Ship collision risk estimation is an essential component of intelligent maritime surveillance
systems. Traditional risk estimation approaches, which can only analyze traffic risk in one …