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.
Authors: Dennis Marten, Carsten Hilgenfeld, Andreas Heuer Abstract: The correct prediction of subsequential port-to-port routes plays an integral part in maritime logistics and is therefore essential
Author: Dana Meißner Abstract: As part of the PRESEA research project, which began in summer 2019, a real-time-based sea traffic forecast application is to be
Authors: Carsten Hilgenfeld, Nina Vojdani, Frank Heymann, Evamarie Wiessner, Bettina Kutschera, Chris Bünger Abstract: For the international exchange of goods, an exact estimated time of
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.
FleetMon is involved in a variety of research & development projects. Learn more about our latest projects.
