Ontology-Based Interaction Method of Ship Avoidance Intention in Mixed Navigation Environment

In order to cope with the future mixed navigational environments at sea and solve the problem of difficulty in effectively interacting with the navigational intent between ships with different degrees of autonomy, the study constructs an ontological knowledge model for navigational situation awareness and negotiation interaction decision-making by analyzing the composition of navigational scenario elements and the negotiation interaction process based on ontology, COLREGs, and maritime practices. Studying the theory and method of autonomous interaction and cooperation between ships to solve the problem of interaction timing determination and interaction target selection, we provide a standardized and formalized information interaction and negotiation decision-making method for MASS. Finally, the validity and reliability of the method are verified on the electronic chart simulation platform. The results show that the method can achieve the intentional interaction between ships and reach a decision-making consensus based on real-time processing and analysis of navigation information, which provides a theoretical basis for the realization of safe and efficient cooperative avoidance of ships in autonomous navigation.