AIS data
AIS data on World Data Ocean: a running collection of 4 stories we have gathered and hand-picked because they are worth your time. Every post here touches on ais data in some way — the news, the analysis, the deep dives, and the occasional surprise find. A Global Hub for Ocean Intelligence 4 World Data Ocean is a centralized digital platform where researchers, scientists, and ocean enthusiasts converge to explore, analyze, and… New stories are added to this page as we find them, so check back if you want to keep up with what is happening around ais data, or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything World Data Ocean is covering right now.
Environmental impact assessment of vessel carbon emissions based on AIS data and fuzzy logic theory in port waters
Vessel carbon emissions represent a critical, growing source of pollution impacting port city environmental quality. This study presents a validated, hierarchical fuzzy logic model leveraging Automatic Identification System (AIS) data to assess the environmental impact of these emissions within port waters. Using Qingdao Port as a case study, our analysis identifies key areas and vessel types—including oil tankers and container vessels—contributing to the highest impacts, particularly during harbor operations and port entry/exit.
Port Of Murmansk Receives First Container Shipment From China Via Northern Sea Route
The Port of Murmansk has marked a significant milestone with the arrival of its first container shipment from China via the Northern Sea Route. The vessel, *Xin Xin Hai 1*, delivered approximately 500 containers of automotive components on Wednesday evening, demonstrating the route's increasing viability. This development underscores the growing importance of Arctic shipping lanes and their potential to reshape global trade logistics. Further illustrating geopolitical maritime concerns, see our coverage of recent events involving the Iranian vessel *Anna* and a Ukrainian drone strike.
Video: 8,401-TEU Container Ship Sinks Off Zhoushan After Salvage Efforts Fail
Salvage operations have concluded unsuccessfully for the 8,401-TEU container ship sinking off Zhoushan, China. The 20-year-old vessel is now facing further complications as an inbound typhoon threatens the area. This incident underscores the escalating risks to maritime transport globally, as evidenced by recent events such as the *MSC Baltic III* grounding in Newfoundland. Ongoing monitoring of these situations is critical for assessing and mitigating potential disruptions to ocean commerce and supply chains.
Physics-informed residual learning for ship speed prediction across wind–wave–current scenarios
Accurate ship speed prediction is critical for voyage optimization and energy efficiency, particularly when navigating complex wind, wave, and current conditions. This study rigorously evaluates three approaches—a physics-based model, a data-driven model (DDM), and a physics-informed hybrid model (PHDM)—demonstrating that the PHDM consistently achieves superior results. Across analyzed scenarios, the PHDM yielded an average MAPE of 3.0168%, outperforming both the Physics model and DDM. For further insights into maritime operations, see our recent coverage of the *Glovis Lighthouse*'s arrival at the Port of Southampton.