In the future, a mixed navigation environment in which autonomous ships and traditional ships coexist will exist for a long time. Collision avoidance between autonomous ships and traditional ships is essentially a dynamic interactive game process, where ships need to observe the behaviour of other ships around them and adjust their own avoidance strategies to ensure navigational safety. In this paper, a game theory-based collision avoidance decision-making method is designed, which can effectively solve the dynamic interaction collision avoidance problem between ships. Firstly, a typical interactive game encounter scenario in the mixed navigation environment is defined. Secondly, autonomous ships and traditional ships are modeled as game participants, and a profit function for ships is established based on navigation practices and good seamanship. Finally, a ship interactive game collision avoidance decision (IGCA) algorithm framework is proposed considering interaction timing, game timing, and game strategy, simulation experiments are carried out on the proposed typical encounter scenario. The experimental results show that the collision avoidance decision-making method proposed in this article can effectively solve the safety avoidance problem between autonomous ships and traditional ships. The research can provide reference for future collision avoidance decision-making problems of ships in mixed navigation environments.


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    Title :

    Research on Ship Interaction Game Collision Avoidance Decision Model in Mixed Navigation Environment


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Liu, Lianqing (editor) / Niu, Yifeng (editor) / Fu, Wenxing (editor) / Qu, Yi (editor) / Wang, Weisong (author) / Zhang, Xinyu (author) / Zheng, Kangjie (author) / Wang, Chengbo (author)

    Conference:

    International Conference on Autonomous Unmanned Systems ; 2024 ; Shenyang, China September 19, 2024 - September 21, 2024



    Publication date :

    2025-03-31


    Size :

    10 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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