Complexity analysis of navigation situation of intelligent ships in port area with multi-factor coupling

Abstract

Accurate analysis of navigation complexity for ships in the busy port areas is crucial for ensuring safety and efficiency. However, there is a lack of an effective method to analyze the navigation situation in the port areas from the perspective of the coupling of multiple influencing factors. Therefore, a multi-factor coupled navigation situation complexity analysis method for unmanned ships is proposed in this paper. Firstly, the factors affecting ship navigation in port areas are considered comprehensively, and a coupled evaluation system is established. Secondly, the coupling coordination degree model is developed to quantify the interaction intensity between the influencing factors. Thirdly, the key interest perception region is abstracted as nodes, the coupling effect granularity is mapped to edge weights, and a complex network model of situation interaction is established. Finally, the method is validated using historical data, and the results show that the proposed model overcomes the limitations of traditional single-factor analysis, effectively identifies navigation influence areas with high coupling effects, determines the priorities of navigation areas of concern, and reveals their significant impact on ship safety.