<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>4(1)</volume><submitter>Zhao L</submitter><pubmed_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</pubmed_abstract><journal>Communications engineering</journal><pagination>11</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11772882</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Intelligent shipping: integrating autonomous maneuvering and maritime knowledge in the Singapore-Rotterdam Corridor.</pubmed_title><pmcid>PMC11772882</pmcid><pubmed_authors>Zhao L</pubmed_authors><pubmed_authors>Xu M</pubmed_authors><pubmed_authors>Liu L</pubmed_authors><pubmed_authors>Zhang M</pubmed_authors><pubmed_authors>Yan R</pubmed_authors><pubmed_authors>Bai Y</pubmed_authors></additional><is_claimable>false</is_claimable><name>Intelligent shipping: integrating autonomous maneuvering and maritime knowledge in the Singapore-Rotterdam Corridor.</name><description>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</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Jan</publication><modification>2025-04-18T16:49:06.133Z</modification><creation>2025-04-07T04:17:01.145Z</creation></dates><accession>S-EPMC11772882</accession><cross_references><pubmed>39870927</pubmed><doi>10.1038/s44172-025-00346-0</doi></cross_references></HashMap>