Intelligent shipping: integrating autonomous maneuvering and maritime knowledge in the Singapore-Rotterdam Corridor
Liang Zhao, Mengqiao Xu, Lei Liu, Yong Bai, Mingyang Zhang, Ran Yan
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. Liang Zhao and colleagues demonstrated a methodological framework that merges maritime knowledge and autonomous manoeuvring model for an intelligent shipping application. It serves as a fully digitalised platform for route customization and evaluation for maritime transportation, optimizing both operational decision-making and safety assurance.