Visualization modeling method for ship collision risk based on AIS data

Maritime collisions represent a significant threat to maritime safety, and the reasonable quantification of collision risks between vessels is of paramount importance for the prevention of potential incidents. The detection and analysis of maritime collision risks have significant theoretical and practical value. However, there is a relative paucity of research on the visualisation of these risks. This paper makes a contribution to the field by developing a vessel risk quantification model based on the Vessel Conflict Ranking Operator (VCRO) with the objective of identifying collision situations from vast amounts of raw AIS (Automatic Identification System) data. Moreover, to address the shortcomings of existing visualisation models in dynamic real-time environments, such as inadequate adaptation to rapidly changing maritime traffic conditions and the necessity for enhanced response speed and accuracy in real-time risk assessment and early warning systems, this study introduces a novel visualisation modelling method. This method is concerned with the construction of a risk flow diagram which illustrates the changes in vessel position that occur after long-term navigation in a specific area. It also captures the dynamics of close encounters between multiple vessels and elucidates the long-term variation patterns of collision risks among two or more vessels.