Intelligent shipping: integrating autonomous maneuvering and maritime knowledge in the Singapore-Rotterdam Corridor
Abstract Designing safe and reliable routes is the core of intelligent shipping. However, existing methods for industrial use are inadequate, primarily due to the lack of considering company preferences and ship maneuvering characteristics. To address these challenges, here we introduce a methodolog...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-01-01
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| Series: | Communications Engineering |
| Online Access: | https://doi.org/10.1038/s44172-025-00346-0 |
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| _version_ | 1832571676680781824 |
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| author | Liang Zhao Mengqiao Xu Lei Liu Yong Bai Mingyang Zhang Ran Yan |
| author_facet | Liang Zhao Mengqiao Xu Lei Liu Yong Bai Mingyang Zhang Ran Yan |
| author_sort | Liang Zhao |
| collection | DOAJ |
| description | Abstract Designing safe and reliable routes is the core of intelligent shipping. However, existing methods for industrial use are inadequate, primarily due to the lack of considering company preferences and ship maneuvering characteristics. To address these challenges, here we introduce a methodological framework that integrates maritime knowledge and autonomous maneuvering model. Based on historical maritime big data, the framework offers customized routes for companies with specific routing preferences. The autonomous maneuvering model then evaluates the safety and reliability of the routes by considering ship motion characteristics and ocean hydrodynamics. We validate its effectiveness on the world’s longest Green and Digital Shipping Corridor between Singapore and Rotterdam. Results demonstrate that our model can provide customized route design for companies and enhance safety for shipping. The framework could serve as a fundamental structure to build a fully digitalized platform for route customization and evaluation for global shipping, optimizing operational decision-making and safety assurance. |
| format | Article |
| id | doaj-art-b4c0aeb81bb3432c8b373683aac83bea |
| institution | Kabale University |
| issn | 2731-3395 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Communications Engineering |
| spelling | doaj-art-b4c0aeb81bb3432c8b373683aac83bea2025-02-02T12:27:02ZengNature PortfolioCommunications Engineering2731-33952025-01-014111310.1038/s44172-025-00346-0Intelligent shipping: integrating autonomous maneuvering and maritime knowledge in the Singapore-Rotterdam CorridorLiang Zhao0Mengqiao Xu1Lei Liu2Yong Bai3Mingyang Zhang4Ran Yan5College of Civil Engineering and Architecture, Zhejiang UniversitySchool of Economics and Management, Dalian University of TechnologySchool of Civil and Environmental Engineering, Nanyang Technological UniversityCollege of Civil Engineering and Architecture, Zhejiang UniversityDepartment of Mechanical Engineering, Marine and Arctic Technology Group, Aalto UniversitySchool of Civil and Environmental Engineering, Nanyang Technological UniversityAbstract Designing safe and reliable routes is the core of intelligent shipping. However, existing methods for industrial use are inadequate, primarily due to the lack of considering company preferences and ship maneuvering characteristics. To address these challenges, here we introduce a methodological framework that integrates maritime knowledge and autonomous maneuvering model. Based on historical maritime big data, the framework offers customized routes for companies with specific routing preferences. The autonomous maneuvering model then evaluates the safety and reliability of the routes by considering ship motion characteristics and ocean hydrodynamics. We validate its effectiveness on the world’s longest Green and Digital Shipping Corridor between Singapore and Rotterdam. Results demonstrate that our model can provide customized route design for companies and enhance safety for shipping. The framework could serve as a fundamental structure to build a fully digitalized platform for route customization and evaluation for global shipping, optimizing operational decision-making and safety assurance.https://doi.org/10.1038/s44172-025-00346-0 |
| spellingShingle | Liang Zhao Mengqiao Xu Lei Liu Yong Bai Mingyang Zhang Ran Yan Intelligent shipping: integrating autonomous maneuvering and maritime knowledge in the Singapore-Rotterdam Corridor Communications Engineering |
| title | Intelligent shipping: integrating autonomous maneuvering and maritime knowledge in the Singapore-Rotterdam Corridor |
| title_full | Intelligent shipping: integrating autonomous maneuvering and maritime knowledge in the Singapore-Rotterdam Corridor |
| title_fullStr | Intelligent shipping: integrating autonomous maneuvering and maritime knowledge in the Singapore-Rotterdam Corridor |
| title_full_unstemmed | Intelligent shipping: integrating autonomous maneuvering and maritime knowledge in the Singapore-Rotterdam Corridor |
| title_short | Intelligent shipping: integrating autonomous maneuvering and maritime knowledge in the Singapore-Rotterdam Corridor |
| title_sort | intelligent shipping integrating autonomous maneuvering and maritime knowledge in the singapore rotterdam corridor |
| url | https://doi.org/10.1038/s44172-025-00346-0 |
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