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Deterministic Vessel Automatic Collision Avoidance Strategy Evaluation Modeling

Liu Hongdan, Liu Qi, Sun Rong

Automatics College Harbin Engineering University

* Corresponding Author: Liu Hongdan, email

Intelligent Automation & Soft Computing 2019, 25(4), 789-804. https://doi.org/10.31209/2019.100000083

Abstract

Based on the concrete sailing parameters of the own vessel and the target vessel demarcate and the division of stages of vessel collision avoidance, the deterministic vessel automatic collision avoidance strategy evaluation model is constructed by the relevant factors which influence ships encounter dangerous situation. By means of inputting the relevant parameters of the collision avoidance strategy into the feasibility evaluation model, the estimated judging curves of the pivotal parameters of vessel collision avoidance can be validated, furthermore, the deterministic collision avoidance evaluation model for single vessel can be extended to the multi-vessels collision avoidance evaluation. Finally, by means of comparing the actual cases of the vessel collision avoidance and the diagrammatic sketch of two vessels’ sailing trajectory, the feasibility report of the collision avoidance strategy can be generated, and then the feasibility and effectiveness of the deterministic evaluation model could be proved.

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Cite This Article

APA Style
Hongdan, L., Qi, L., Rong, S. (2019). Deterministic vessel automatic collision avoidance strategy evaluation modeling. Intelligent Automation & Soft Computing, 25(4), 789-804. https://doi.org/10.31209/2019.100000083
Vancouver Style
Hongdan L, Qi L, Rong S. Deterministic vessel automatic collision avoidance strategy evaluation modeling. Intell Automat Soft Comput . 2019;25(4):789-804 https://doi.org/10.31209/2019.100000083
IEEE Style
L. Hongdan, L. Qi, and S. Rong, “Deterministic Vessel Automatic Collision Avoidance Strategy Evaluation Modeling,” Intell. Automat. Soft Comput. , vol. 25, no. 4, pp. 789-804, 2019. https://doi.org/10.31209/2019.100000083



cc Copyright © 2019 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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