With the development of Maritime Autonomous Surface Ships (MASS), considerable
research is undertaken to secure their safety. One of the critical aspects of MASS is collision …

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 …

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 …

Collision accidents may lead to significant asset damage and human casualties. This paper
introduces a direct analysis methodology that makes use of Automatic Identification System …

Ship groundings may often lead to damages resulting in oil spills or ship flooding and
subsequent capsizing. Risks can be estimated qualitatively through experts' judgment or …

Ship collision risk analysis is of great significance for maritime traffic management and
surveillance in real operational conditions. However, the traditional concept of the closest …

This paper presents a deep learning method for the prediction of ship motions in 6 Degrees
of Freedom (DoF). Big data streams of Automatic Identification System (AIS), now-cast, and …

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 …

Ship collisions are one of the most common types of maritime accidents. Assessing the
frequency and probability of ship collisions is of great importance as it provides a cost …

This paper introduced a new ship domain concept and an analytical framework. The ship
domain takes the point of the ship's first evasive maneuver as a basis and correlates it with …