Ship Collision Risk Assessment Algorithm Based on the Especial Cautious Navigation Angle Model
To address the challenges posed by dense shipping traffic and the difficulty of identifying navigation risks in open waters, this paper introduces an Especial Cautious Navigation Angle (ECNA) model for ships, grounded in ship collision avoidance geometry. The ECNA model dynamically identifies the ra...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-01-01
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| Series: | Journal of Marine Science and Engineering |
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| Online Access: | https://www.mdpi.com/2077-1312/13/1/173 |
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| _version_ | 1832588207572647936 |
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| author | Wei Pan Yukuan Wang Xinlian Xie Meng Li Jinru Fan |
| author_facet | Wei Pan Yukuan Wang Xinlian Xie Meng Li Jinru Fan |
| author_sort | Wei Pan |
| collection | DOAJ |
| description | To address the challenges posed by dense shipping traffic and the difficulty of identifying navigation risks in open waters, this paper introduces an Especial Cautious Navigation Angle (ECNA) model for ships, grounded in ship collision avoidance geometry. The ECNA model dynamically identifies the range of navigation angles where collision risks may arise between ships. Building upon this model, a comprehensive scoring algorithm is proposed to assess ship collision risks in open waters. This algorithm not only effectively tracks the evolving risk of collisions but also prioritizes ships with the most imminent danger of collision. Experimental results demonstrate that the ECNA model can accurately define the range of collision risk navigation angles. Furthermore, the scoring algorithm provides a quantitative analysis of the development trends in collision risks and offers continuous monitoring of these risks during navigation in open waters. The proposed model and algorithm exhibit strong practical applicability and operability in identifying ship collision risks in both open and dense navigable areas. These findings not only offer valuable guidance for real-world collision risk identification but also contribute to the theoretical advancement of ship collision risk analysis, presenting a novel solution to this pressing issue. |
| format | Article |
| id | doaj-art-7163b7918ccc47c6a8fa6eea8e6bb9d7 |
| institution | Kabale University |
| issn | 2077-1312 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Marine Science and Engineering |
| spelling | doaj-art-7163b7918ccc47c6a8fa6eea8e6bb9d72025-01-24T13:37:07ZengMDPI AGJournal of Marine Science and Engineering2077-13122025-01-0113117310.3390/jmse13010173Ship Collision Risk Assessment Algorithm Based on the Especial Cautious Navigation Angle ModelWei Pan0Yukuan Wang1Xinlian Xie2Meng Li3Jinru Fan4Institute for Big Data Research, Liaoning University of International Business and Economics, Dalian 116052, ChinaSanya Science and Education Innovation Park, Wuhan University of Technology, Sanya 572000, ChinaIntegrated Transport Institute, Dalian Maritime University, Dalian 116026, ChinaIntegrated Transport Institute, Dalian Maritime University, Dalian 116026, ChinaSchool of Accounting, Liaoning University of International Business and Economics, Dalian 116052, ChinaTo address the challenges posed by dense shipping traffic and the difficulty of identifying navigation risks in open waters, this paper introduces an Especial Cautious Navigation Angle (ECNA) model for ships, grounded in ship collision avoidance geometry. The ECNA model dynamically identifies the range of navigation angles where collision risks may arise between ships. Building upon this model, a comprehensive scoring algorithm is proposed to assess ship collision risks in open waters. This algorithm not only effectively tracks the evolving risk of collisions but also prioritizes ships with the most imminent danger of collision. Experimental results demonstrate that the ECNA model can accurately define the range of collision risk navigation angles. Furthermore, the scoring algorithm provides a quantitative analysis of the development trends in collision risks and offers continuous monitoring of these risks during navigation in open waters. The proposed model and algorithm exhibit strong practical applicability and operability in identifying ship collision risks in both open and dense navigable areas. These findings not only offer valuable guidance for real-world collision risk identification but also contribute to the theoretical advancement of ship collision risk analysis, presenting a novel solution to this pressing issue.https://www.mdpi.com/2077-1312/13/1/173open waterscollision riskvisualization |
| spellingShingle | Wei Pan Yukuan Wang Xinlian Xie Meng Li Jinru Fan Ship Collision Risk Assessment Algorithm Based on the Especial Cautious Navigation Angle Model Journal of Marine Science and Engineering open waters collision risk visualization |
| title | Ship Collision Risk Assessment Algorithm Based on the Especial Cautious Navigation Angle Model |
| title_full | Ship Collision Risk Assessment Algorithm Based on the Especial Cautious Navigation Angle Model |
| title_fullStr | Ship Collision Risk Assessment Algorithm Based on the Especial Cautious Navigation Angle Model |
| title_full_unstemmed | Ship Collision Risk Assessment Algorithm Based on the Especial Cautious Navigation Angle Model |
| title_short | Ship Collision Risk Assessment Algorithm Based on the Especial Cautious Navigation Angle Model |
| title_sort | ship collision risk assessment algorithm based on the especial cautious navigation angle model |
| topic | open waters collision risk visualization |
| url | https://www.mdpi.com/2077-1312/13/1/173 |
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