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  • Research: Machine Learning
Machine Learning

LEAS – shore-side decision support for traffic situations with highly automated or autonomous vessels using AI.

This project aims to increase maritime safety and is designed in the area of safety research. Through the use of artificial intelligence, the Vessel Traffic Service Center (VTS), Fleet Operation Center (FOC), and Vessel Coordination Center (VCC) will be technologically prepared for the occurrence of highly automated vessels. Concepts are being developed to visualize this information in the Human Machine Interface (HMI).

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Emission

MAREMIS – AI-based calculation of air pollution emitted by ships and its dispersion.

This is an international joint project between Singapore and Germany. In this project, artificial intelligence technology is used to investigate the spread of pollutants from ships in the ports. The results will be used to develop suggestions on how to improve air quality in cities near the ports. The project is supported, among others, by the ministries of transport of the cities and states as well as the port authorities.

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Machine Learning

Kiel Trade Indicator

FleetMon supported the Institute of World Economy (IfW Kiel) with real-time data of global container shipping for creating an AI-based leading indicator for international trade.

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