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Article type: Research Article
Authors: Wang, Xiaoyuana; b; * | Zhang, Lulub | Wang, Ganga; b | Wang, Quanzhenga; b | He, Guowena; b
Affiliations: [a] College of Electromechanical Engineering, Qingdao University of Science and Technology, Qingdao, China | [b] Intelligent Shipping Technology Innovation and Comprehensive Experimental Base, Qingdao, China
Correspondence: [*] Corresponding author. Xiaoyuan Wang, College of Electromechanical Engineering, Qingdao University of Science and Technology, Qingdao 266000, China. E-mail: wangxiaoyuan@qust.edu.cn.
Abstract: The collision risk of ships is a fuzzy concept, which is the measurement of the likelihood of a collision between ships. Most of existed studies on the risk of multi-ship collision are based on the assessment of two-ship collision risk, and collision risk between the target ship and each interfering ship is calculated respectively, to determine the key avoidance ship. This method is far from the actual situation and has some defects. In open waters, it is of certain reference value when there are fewer ships, but in busy waters, it cannot well represent the risk degree of the target ship, since it lacks the assessment of the overall risk of the perceived area of the target ship. Based on analysis of complexity of ships group situation, the concept of relative domain was put forward and the model was constructed. On this basis, the relative collision risk was proposed, and the corresponding model was obtained, so as to realize risk assessment. Through the combination of real ship and simulation experiments, the variation trend, stability and sensitivity of the model were verified. The results showed that risk degree of the environment of ships in open and busy waters could be well assessed, and good references for decision-making process of ships collision avoidance could be provided.
Keywords: Ships group situation, unmanned ship, relative domain, relative collision risk
DOI: 10.3233/JIFS-211025
Journal: Journal of Intelligent & Fuzzy Systems, vol. 41, no. 6, pp. 7137-7150, 2021
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