Dynamic Risk Analysis of Intelligent Navigation Process Based on Dynamic Bayesian Network

Abstract

With the rise and development of the concept of autonomous ships, autonomous ships have become a research hotspot in the field of international maritime and transportation. The intelligent navigation system has attracted much attention as a typical function of autonomous ships. During navigation, new risks are inevitable due to the separation from human control, so carrying out a dynamic risk analysis is of great significance. This paper is based on the risk influencing factors and typical risk events during navigation. Then, the Dynamic Bayesian Network model is established by using risk factors and typical risk events, and the risk value of each risk factor is determined. It is substituted into the model to calculate and predict the current and future risk values.