Ship collision avoidance has always been a concern and it is crucial for achieving safe navigation of ships at sea. There are many studies on ship collision avoidance in open water, but less attention on coastal waters considering the uncertainty of target ships due to the complexity of the environment and traffic flow. In this paper, collision avoidance decision-making research in coastal waters considering the uncertainty of target ships was proposed. Firstly, accurate ship trajectories are obtained by preprocessing the raw Automatic Identification System (AIS) data. Subsequently, the processed trajectories are clustered using the Ordering Points to Identify the Clustering Structure (OPTICS) algorithm and Hausdorff distance, acquiring a dataset for trajectory prediction of target ships. Then, a mixed Gaussian model is utilized to calculate the prior probability distribution of the prediction model, thus establishing a trajectory prediction model that considers the uncertainty of the target ship. Finally, ship maneuverability is simulated using the Mathematical Model Group (MMG) and Proportion Integration Differentiation (PID) models, and a collision avoidance decision-making model for ships is constructed. The proposed algorithm has been tested and verified in a case study. The results show that the approach effectively predicts the trajectory of the target ship and facilitates informed collision avoidance decision-making.


    Access

    Download


    Export, share and cite



    Title :

    Ship collision avoidance decision-making research in coastal waters considering uncertainty of target ships


    Contributors:
    Jianjie Gao (author) / Yuquan Zhang (author)


    Publication date :

    2024




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




    Unmanned ship collision avoidance decision-making method considering driving cognition

    ZHANG XINYU / JIN WEN / ZHANG ZHAIRONG et al. | European Patent Office | 2024

    Free access

    Ship collision avoidance decision-making method

    ZHANG JINFEN / ZENG YONG / ZHANG MINGYANG et al. | European Patent Office | 2020

    Free access

    Multi-ship collision avoidance decision-making model considering operation conflict under COLREGs

    Wang, Lunwei / Chen, Guocheng / Liu, Jiongjiong et al. | IEEE | 2021


    Cooperative collision avoidance decision-making method of multi-target decision-making ship under asynchronous delay characteristic

    NI SHENGKE / ZHAO ZHILEI / CHEN QIANRONG et al. | European Patent Office | 2024

    Free access

    Research on Collision Avoidance Decision-Making of Unmanned Ship Navigation in Fairway

    Fang, Yuanyuan / Meng, Fanbin / Yu, Shuangning et al. | Springer Verlag | 2023