We are involved in a variety of research & development projects. FleetMon has functioned as the data provider for several funded research projects of prestigious universities and academic institutes worldwide. Besides, we conduct research on our own or partner with other maritime companies and maritime institutions to strive for innovation. Depending on the study scope, we even grant students free access to our products and services. Please read through the range of our projects to know more.
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).
The Technical University Berlin conducted a case study in collaboration with the SELECT research project. Students were given the task to develop an arrival time prediction dashboard for inland vessels using AIS data provided by FleetMon.
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.
A method is being developed for sea areas and ports to determine the number of people at sea. For this purpose, information from the FleetMon ship databases and community is bundled. The number of persons in a maritime area is essential for the provision of sufficient maritime rescue resources.
In the project, a method is being developed to identify near-accidents of ships. For this purpose, the technical limits of the ships but also the personal safety area of the nautical officers will be examined. These can then be used for the development of new guidelines for vessel operations.
Global climate targets, stricter emissions regulations and emissions trading mean that reported emissions data must be validated. In a highly complex model, specifically one which includes individual ships and their technical equipment, the emissions calculated take into account the weather conditions.
In 2019, a team of German producers and environmental activists turned to FleetMon to get support. To produce a documentary film on the possibility of marine trash flows of the Arctic Ocean originating in faraway places like Germany, we sponsored several GPS satellite trackers to be sent on a journey.
The aim of PRESEA is the development of a software prototype for real-time-based, exact prediction and representation of the actual sea traffic in certain areas of the North and Baltic Seas for up to 14 days into the future.
In the MERMAID project, a method for vessel routing and precise calculation of the ETA (Estimated Time of Arrival) of ships is being developed. The result will be a module which, based on AIS data, is able to derive a routable edge-node model of maritime traffic.
Interested in Our Publications?
Please find a collection of the latest scientific papers and publications accomplished with FleetMon data sources.