GMSA: A Digital Twin Application for Maritime Route and Event Forecasting

Digital twins are increasingly valuable in sectors like maritime,energy, logistics and transportation. In the maritime industry, the complexity of monitoring vessel traffic, necessitates more sophisticated, data-driven approaches due to the high volume of vessels and intricate movement patterns. This paper introduces GMSA, adigital twin application for maritime route and event forecasting for the entire global fleet, utilizing the real-time AIS streaming service of Kpler (MarineTraffic), for maritime event detection, vessel route prediction and traffic state estimation. Through the combined views of the real-time event detection functions, the vessel and port-specific data driven models, and the visualization of historical aggregated vessel mobility metrics, the application creates a a multi-layer information system for efficient, proactive action planning and enhanced decision making for the end-user.

Georgios Grigoropoulos, Giannis Spiliopoulos, Ilias Chamatidis, Manolis Kaliorakis, Alexandros Troupiotis - Kapeliaris, Marios Vodas, Evangelia Filippou, Eva Chondrodima, Nikos Pelekis, Yannis Theodoridis, Dimitris Zissis, Konstantina Bereta