Research on Ship Collision Risk Analysis Based On Grey Correlation Analysis Algorithm
Authors: 
Zhaoxi Dong, Yuan Cao, Mengyu Tang, Yu WangAuthors Info & Claims
Pages 154 - 159
Abstract
In order to better study the safety situation of ship navigation at sea and avoid serious losses of human life and property caused by collision during navigation, the waters of Changshan waterway in Bohai Bay are selected as the research object, and the risk grade evaluation system of ship collision is established. The AIS data of ship traffic flow is geometrically displayed. By using the gray correlation analysis algorithm, the similarity between the reference geometry and the geometry of several comparison series is determined, and the tightness between the comparison series and the reference series is judged. The higher the tightness, the higher the risk level. Then by comparing the typical ship collision cases in actual work, it is found that the time period of these cases is positively correlated with the time period when the risk level is higher, which shows that the algorithm model is more accurate and suitable for the study of ship collision risk assessment. Finally, the countermeasures to reduce the collision risk of ships in this water area are put forward.
Supplementary Material
In order to better study the safety situation of ship navigation at sea and avoid serious losses of human life and property caused by collision during navigation, the waters of Changshan waterway in Bohai Bay are selected as the research object, and the risk grade evaluation system of ship collision is established. The AIS data of ship traffic flow is geometrically displayed. By using the gray correlation analysis algorithm, the similarity between the reference geometry and the geometry of several comparison series is determined, and the tightness between the comparison series and the reference series is judged. The higher the tightness, the higher the risk level. Then by comparing the typical ship collision cases in actual work, it is found that the time period of these cases is positively correlated with the time period when the risk level is higher, which shows that the algorithm model is more accurate and suitable for the study of ship collision risk assessment. Finally, the countermeasures to reduce the collision risk of ships in this water area are put forward. (file_name.docx)
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References
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YU Yang. Research on ship collision risk in Chengshanjiao Waters based on support vector machine[D]. Dalian: Dalian Maritime University, 2018.
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- Research on Ship Collision Risk Analysis Based On Grey Correlation Analysis Algorithm
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Published In
September 2022
454 pages
ISBN:9781450396875
DOI:10.1145/3565291
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Published: 16 December 2022
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ICBDT 2022
ICBDT 2022: 2022 5th International Conference on Big Data Technologies
September 23 - 25, 2022
Qingdao, China
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