Spatial logical relationship analysis model of ship Encounter space

Abstract To improve the ability to analyze the spatial relationship between target ships, this study proposes a method for dividing the ship encounter space and analyzing spatial logical relationships using geographic information system (GIS) spatial analysis technology. The method solves the problem of ship collision risk analysis by studying the spatial distribution, spatial structure, and encounter characteristics of ships. In this model, it is necessary to divide ship encounter spaces to form a new spatial data model. The model then analyzes the spatial logical relationship between the optimal neighboring triangulation network and convex polygons in the ship encounter space and lastly obtains the trend information of the encounter danger and features of the encounter in the ship's navigation. This study conducted a model simulation using data of the M/T Sanchi and M/V CF Crystal collision on January 6, 2018, and analyzed the collision risk characteristics during four periods prior to the collision. The results show that the model is effective and feasible for accurately extracting ship navigation safety information.