A novel real-time collision risk awareness method based on velocity obstacle considering uncertainties in ship dynamics

COLREGs-based collision risk awareness model is urgently needed in real-time operating conditions. However, this is a complicated problem under various encounter situations, some of which are very complex. In order to quantify the collision risk in real operating conditions, a novel risk-informed collision risk awareness approach is proposed for real-time operating conditions. Firstly, the ship's actions are identified based on the Automatic Identification System (AIS) data. Secondly, the uncertainty of ship action patterns is analyzed by regarding the target ships as velocity obstacles. Then, the collision risk model is utilized to assess the collision risk level based on the uncertainty in the non-linear velocity obstacles algorithm considering responsibility. Finally, some case studies are carried out based on the proposed model. In the model, the dynamic and uncertainty features of the ship action dynamics in real operating conditions are considered, which could benefit on reducing ship collision accidents and improving the development of technologies on intelligent collision avoidance decision makings.

Automated summary

In this study, a COLREGs-based collision risk awareness model is proposed to quantify collision risk in real-time operating conditions. Ship actions are identified through AIS data, uncertainty is analyzed by treating target ships as velocity obstacles, and collision risk is assessed based on the uncertainty in the non-linear velocity obstacles algorithm. Case studies are carried out to validate the model, considering the dynamic and uncertainty features of ship action dynamics to reduce collision accidents and enhance intelligent collision avoidance decision-making technology.