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https://hdl.handle.net/10356/184730
Title: | Intelligent shipping: integrating autonomous maneuvering and maritime knowledge in the Singapore-Rotterdam Corridor | Authors: | Zhao, Liang Xu, Mengqiao Liu, Lei Bai, Yong Zhang, Mingyang Yan, Ran |
Keywords: | Business and Management Engineering |
Issue Date: | 2025 | Source: | Zhao, L., Xu, M., Liu, L., Bai, Y., Zhang, M. & Yan, R. (2025). Intelligent shipping: integrating autonomous maneuvering and maritime knowledge in the Singapore-Rotterdam Corridor. Communications Engineering, 4(1), 11-. https://dx.doi.org/10.1038/s44172-025-00346-0 | Project: | RG75/23 SEC-Core2024-34 |
Journal: | Communications Engineering | 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. | URI: | https://hdl.handle.net/10356/184730 | ISSN: | 2731-3395 | DOI: | 10.1038/s44172-025-00346-0 | Schools: | School of Civil and Environmental Engineering | Rights: | © 2025 The Author(s). Open Access. This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/bync-nd/4.0/. | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
Appears in Collections: | CEE Journal Articles |
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s44172-025-00346-0.pdf | 16.35 MB | Adobe PDF | View/Open |
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