A quantitative method for the analysis of ship collision risk using AIS data

Ship collision risk analysis is of great significance for maritime traffic management and surveillance in real operational conditions. However, the traditional concept closest point approach (CPA) limited, particularly coastal areas. Thus, this paper introduces a quantitative method measuring ship risk. The proposed uses both static dynamic information Automatic Identification System (AIS) data. First, points ship-ship (CPC) are calculated based on specifications (e.g., length breadth) geographical positioning ships. Dynamic boundaries estimated via CPC involved Then, kinematics feature-based vessel conflict ranking operator (KF-VCRO) introduced to evaluate by integrating relative position vector velocity, accounting AIS. Finally, our validated simulating head-on, overtaking, crossing situations, showing that it can accurately assess typical scenarios. Especially, we further through real-world experiments Zhoushan, China. results indicate provided accurate identification high areas Zhoushan practices. It concluded (1) assists quantifying identifying areas, (2) estimating provides insight into surveillance.