A novel collision risk awareness framework for ships in real-time operating conditions

Abstract

Ship collisions sometimes occur at sea and a significant cause of ship collision accident is the lack of collision risk awareness. In order to quantify the collision risk of the ship in real operating conditions, a novel collision risk awareness framework is proposed for ships in real-time operating conditions. It mainly consists of four models/stages. Firstly, the ship motions are identified using turning points based on (Automatic Identification System) AIS data in real operating conditions. Secondly, the uncertainty of ship motion patterns is analysed that the target ship is regarded as velocity obstacles. Then, the collision risk probabilistic model is utilized to assess the collision risk level in different areas based on the non-linear velocity obstacles algorithm. Finally, some case studies are carried out based on the proposed ship collision risk awareness framework. In the collision risk awareness framework, the dynamic and uncertainty characteristics of ship motion patterns in real operating conditions are considered, which could benefit on reducing the ship collision accident and improving the development of theoretical technology on intelligent collision avoidance decision making.