A Domain-Based Model for Identifying Regional Collision Risk and Depicting Its Geographical Distribution
In recent years, the increasing volume and complexity of ship traffic has raised the probability of collision accidents in ports, waterways, and coastal waters. Due to the relative rarity of collision accidents, near misses have been used in the research to study the collision risk in the relevant w...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-10-01
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| Series: | Journal of Marine Science and Engineering |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2077-1312/11/11/2092 |
| _version_ | 1827639546548846592 |
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| author | Zihao Liu Zhaolin Wu Zhongyi Zheng Xianda Yu Xiaoxuan Bu Wenjun Zhang |
| author_facet | Zihao Liu Zhaolin Wu Zhongyi Zheng Xianda Yu Xiaoxuan Bu Wenjun Zhang |
| author_sort | Zihao Liu |
| collection | DOAJ |
| description | In recent years, the increasing volume and complexity of ship traffic has raised the probability of collision accidents in ports, waterways, and coastal waters. Due to the relative rarity of collision accidents, near misses have been used in the research to study the collision risk in the relevant water areas. However, the factor of near miss identification is usually limited to the relative distance between ships, and the instantaneous quantification and geographical distribution of collision risk is not paid enough attention. Therefore, this article proposed a domain-based regional collision risk model that can quantify the collision risk by detecting near miss scenarios. The proposed model is capable of quantifying the collision risk in the water area instantaneously and periodically and can be used to depict the geographical distribution of collision risks in combination with a grid method and the spatial interpolation technique. To validate the proposed model, some experimental case studies were carried out using automatic identification system (AIS) data from the Bohai Strait. The results show the capability and advantage of the proposed model in regional collision risk identification and visualization, which is helpful for maritime surveillance when monitoring and organizing ship traffic and may therefore contribute to the improvement of maritime safety. |
| first_indexed | 2024-03-09T16:41:52Z |
| format | Article |
| id | doaj.art-39740af51a4d45e0995c0c3ed04ca1f7 |
| institution | Directory Open Access Journal |
| issn | 2077-1312 |
| language | English |
| last_indexed | 2024-03-09T16:41:52Z |
| publishDate | 2023-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Marine Science and Engineering |
| spelling | doaj.art-39740af51a4d45e0995c0c3ed04ca1f72023-11-24T14:50:23ZengMDPI AGJournal of Marine Science and Engineering2077-13122023-10-011111209210.3390/jmse11112092A Domain-Based Model for Identifying Regional Collision Risk and Depicting Its Geographical DistributionZihao Liu0Zhaolin Wu1Zhongyi Zheng2Xianda Yu3Xiaoxuan Bu4Wenjun Zhang5Navigation College, Dalian Maritime University, Dalian 116026, ChinaNavigation College, Dalian Maritime University, Dalian 116026, ChinaNavigation College, Dalian Maritime University, Dalian 116026, ChinaNavigation College, Dalian Maritime University, Dalian 116026, ChinaNavigation College, Dalian Maritime University, Dalian 116026, ChinaNavigation College, Dalian Maritime University, Dalian 116026, ChinaIn recent years, the increasing volume and complexity of ship traffic has raised the probability of collision accidents in ports, waterways, and coastal waters. Due to the relative rarity of collision accidents, near misses have been used in the research to study the collision risk in the relevant water areas. However, the factor of near miss identification is usually limited to the relative distance between ships, and the instantaneous quantification and geographical distribution of collision risk is not paid enough attention. Therefore, this article proposed a domain-based regional collision risk model that can quantify the collision risk by detecting near miss scenarios. The proposed model is capable of quantifying the collision risk in the water area instantaneously and periodically and can be used to depict the geographical distribution of collision risks in combination with a grid method and the spatial interpolation technique. To validate the proposed model, some experimental case studies were carried out using automatic identification system (AIS) data from the Bohai Strait. The results show the capability and advantage of the proposed model in regional collision risk identification and visualization, which is helpful for maritime surveillance when monitoring and organizing ship traffic and may therefore contribute to the improvement of maritime safety.https://www.mdpi.com/2077-1312/11/11/2092collision riskship domainnear missmaritime trafficgeographical distribution |
| spellingShingle | Zihao Liu Zhaolin Wu Zhongyi Zheng Xianda Yu Xiaoxuan Bu Wenjun Zhang A Domain-Based Model for Identifying Regional Collision Risk and Depicting Its Geographical Distribution Journal of Marine Science and Engineering collision risk ship domain near miss maritime traffic geographical distribution |
| title | A Domain-Based Model for Identifying Regional Collision Risk and Depicting Its Geographical Distribution |
| title_full | A Domain-Based Model for Identifying Regional Collision Risk and Depicting Its Geographical Distribution |
| title_fullStr | A Domain-Based Model for Identifying Regional Collision Risk and Depicting Its Geographical Distribution |
| title_full_unstemmed | A Domain-Based Model for Identifying Regional Collision Risk and Depicting Its Geographical Distribution |
| title_short | A Domain-Based Model for Identifying Regional Collision Risk and Depicting Its Geographical Distribution |
| title_sort | domain based model for identifying regional collision risk and depicting its geographical distribution |
| topic | collision risk ship domain near miss maritime traffic geographical distribution |
| url | https://www.mdpi.com/2077-1312/11/11/2092 |
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