Maritime Data Methods for Safe Shipping
MaDaMe

Piloting S-124 Navigational Warnings via VDES: From Plotting to MMS Deployment in Denmark

19 December 2025
Technical details

As part of the MaDaMe project under Interreg Baltic Sea Region, Denmark has begun piloting the next-generation maritime communication services designed to make navigational information faster, clearer, and more reliable.

Demonstration of the End-to-End Data Flow

In Denmark, the pilot team demonstrated the complete workflow, from the creation of an S-124 Navigational Warning (NW) to its transmission over VDE-TER and reception onboard the vessel. The demonstration video (MaDaMe Project Demonstration – S-124 Navigation Warning over VDE-TER) illustrates how an MSI operator, in this case, the Danish Emergency Management Agency (DEMA), generates a structured S-124 message, and sends it through the MMS Network.

The message is picked up by the Sternula MMS Proxy Shore and transmitted over the VDE-TER network from a shore-based VDES transceiver to a ship with a VDES transponder, utilizing a VHF antenna onboard. Sternula MMS Proxy Ship serves as the glue that binds all components together, decoding the secure data and displaying the S-124 NW directly on the ship’s Electronic Navigation System (ENS).

This setup shows how future maritime communication systems can support timely, standardized, and automated safety information. The next phases of the project will use these findings to refine service specifications, improve message routing, and prepare for wider regional adoption.

Interactive map showing pilot locations. Use the arrow keys to move the map view and the zoom controls to zoom in or out. Press the Tab key to navigate between markers. Press Enter or click a marker to view pilot project details.

Privacy Overview

This website uses cookies so that we can provide you with the best user experience possible. Cookie information is stored in your browser and performs functions such as recognising you when you return to our website and helping our team to understand which sections of the website you find most interesting and useful.