Real-Time Collision Risk Assessment System Based on the Fuzzy Theory in Accordance with Collision Avoidance Rules

摘要

Ship collision avoidance is one of the key points in the maritime technology field. Navigator can adopt correct taking an action for collision avoidance via an accurate collision risk assessment via real-time ship movement parameters and a time point for collision avoidance. In this paper, the real-time collision risk assessment system by considering ship movement parameters and the time point for collision avoidance in accordance with collision avoidance rules was proposed as follows: (i) ship movement parameters and the time point for collision avoidance were analyzed and obtained according to the review on collision avoidance; (ii) ship movement parameters defined by the time point for collision avoidance was extracted via near-collision situation data using ship domain, and (iii) obtained data was learned by using the adaptive neuro fuzzy inference system (ANFIS). As a result, the real-time collision risk assessment system can infer the collision risk index (CRI) according to changing circumstances at optimal distance and time.