Research on the Collision Risk of Ships off Keelung Based on AIS Data

被引:0
作者
Chen, Shih-Tzung [1 ]
Yang, Ming-Feng [2 ,3 ,4 ]
Kao, Sheng-Long [2 ,3 ]
Tu, Mengru [2 ]
Kuo, Jun-Yuan [5 ]
Chao, Yen-Ting [6 ]
Hsu, Huang-Kai [2 ]
机构
[1] Natl Taiwan Ocean Univ, Dept Merchant Marine, Keelung, Taiwan
[2] Natl Taiwan Ocean Univ, Dept Transportat Sci, Keelung, Taiwan
[3] Natl Taiwan Ocean Univ, Intelligent Maritime Res Ctr, Keelung, Taiwan
[4] Providence Univ, Dept Int Business, Taichung, Taiwan
[5] Kainan Univ, Dept Int Business, Taoyuan, Taiwan
[6] Taipei City Univ Sci & Technol, Dept Business Adm, Taipei, Taiwan
来源
JOURNAL OF MARINE SCIENCE AND TECHNOLOGY-TAIWAN | 2023年 / 31卷 / 04期
关键词
Collision warning systems (CWSs); Vessel conflict ranking operator (VCRO); Automatic identification system (AIS); Maritime safety;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In previous literature, several computational methods have been proposed to analyze collision risks for vessels navigating at sea, most of which rely on the calculation of DCPA and TCPA between two vessels. However, this study adopts an enhanced version of the Vessel Conflict Ranking Operator (VCRO) to assess vessel collision risks. This approach not only considers the relative distance and relative velocity between two vessels but also takes their relative aspect into account. This methodology was applied to real-world vessels ' dynamic data collected through AIS. From a near-collision perspective, it identifies high-risk areas near Keelung water where commercial vessels and fishing boats are more likely to collide. The hope is that in the near future, this method can be integrated into maritime collision warning systems (CWSs) of VTS (Vessel Traffic Service) and/or offshore wind power to enhance safety and navigation in maritime environments.
引用
收藏
页码:553 / 565
页数:13
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