The efficiency of maritime traffic management and the safety of ship navigation have become
top priorities. This study introduces a ship behavior recognition method that utilizes the …

Ship trajectory data extracted from Automatic Identification System (AIS) has been
extensively used for maritime traffic analysis. Yet the enormous volume of AIS data has …

To understand the behaviors of ships at different stages of an encounter, this article
analyzes the relative motion of ships during an overtaking process spatiotemporally. It takes …

In order to gain a deeper understanding of the behaviour of ships at distinct stages of a
crossing encounter, this study systematically analyses the relative motions of two ships …

This study presents a comprehensive comparative analysis of three primary datasets
commonly employed to evaluate shipping patterns in Arctic waters: 1) Northern Canada …

The accurate timing for collision avoidance actions is crucial for preventing maritime
collisions. Traditional methods often rely on collision risk assessments, using quantitative …

Open collectives consisting of self-adaptive and semi-autonomous systems are typically
difficult to control, especially if a self-improving integration behaviour is to be achieved at …

Recent advancements in information technology and ship equipment have led to massive
data collection on maritime traffic, particularly through automatic identification systems (AIS) …

To achieve efficient and accurate identification of ship encounter behavior information in
massive Automatic Identification System (AIS) data, understand and analyze the navigation …

This chapter initially presents an overview of the research domain within which this thesis is
situated. It then outlines the rationale behind the research undertaking, followed by the …