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EN
The article presents an approach to formulating a ship control process model in order to solve the problem of determining a safe ship trajectory in collision situations. Fuzzy process properties are included in the model to bring it closer to reality, as in many situations the navigator makes a subjective decision. A special neural network was used to solve the presented problem. This artificial neural network is characterized by minimum and maximum operations when set. In order to confirm the correctness of the operation of the proposed algorithm, the results of the simulations obtained were presented and an discussion was conducted.
EN
The paper presents results of a ship's safe trajectory planning method verification - the Trajectory Base Algorithm, which is a deterministic approach for real-time path-planning with collision avoidance. The paper presents results of the algorithm’s verification from different ships’ perspectives and with changing strategies of target ships. Results prove the applicability of the algorithm in the Collision Avoidance Module of the Autonomous Navigation System for Maritime Autonomous Surface Ships.
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