Dynamic risk prewarning in ship encounter process considering domain violation

Abstract

A ship's perception of risk is an important basis for collision avoidance. To improve such perception, several risk measurement parameters on the ship domain are determined, including the approach factor, the time to domain violation (TDV) and the possible collision domain. Then, a risk hierarchy prewarning (RHP) model based on the violation detection of a ship domain is proposed, in which a two-level alarm scheme is adopted accordingly. A low-intensity alarm will be activated by reaching the minimum approach factor and the TDV threshold, and a high-intensity alarm will be activated by the factor of the possible collision domain and the TDV threshold. Subsequently, a novel guard zone in ARPA radar utilising the RHP model has been developed to establish a ship's risk perception system for officers on watch at sea. The model proposed in this paper can not only enhance the veracity of risk assessment around our own ship, but also be used as a decision support system for collision avoidance.

The Application of Automatic Identification System Information and PSO-LSTM Neural Network in CRI Prediction

“…Taking an example as follows: reference [ 18 ] deduces an ordered probabilistic regression model to study perceived collision risk. In Reference [ 19 ], the domain method is adopted to carry out dynamic risk warning for ship encounter process.…”