KPLER Research Labs, one of the CREXDATA collaborators, is committed to redefine the future of the maritime, commodities, and power sectors through cutting-edge innovations and set new industry benchmarks. In this context, CREXDATA Project is delighted to announce that Kpler presented three scientific publications to the EDBT/ICDT conference in March 2024 showcasing our state of the art solutions for global maritime situational awareness and vessel mobility patterns indexing for improved global logistic chain visibility. EDBT/ICDT is one of the most prestigious international venues in the areas of large-scale data management.
KPLER R&D Labs presented 2 papers in the Industrial & Application (Ι&Α) Track and 1 paper in the Demo Track. The publications are the outcomes of collaboration with our academic partners from the University of Piraeus, Data Science Lab (Datastories) and the University of the Aegean, in the context of the EU funded projects VesselAI and CREXDATA EU Project.
Information about the papers:
A Scalable System for Maritime Route and Event Forecasting
In this paper we develop a novel highly scalable digital twin for Maritime Situational Awareness that leverages streaming real-time AIS data for vessel route prediction, traffic state estimation, and event detection based on the actor model. The proposed solution integrates data driven models on the actor level for route forecasting that utilize vessel specific features and are adapted according to the system requirements and the limitations of AIS streaming service networks.You can find the paper here.
Patterns of Life: Global Inventory for Maritime Mobility Patterns
In this paper we present a data-driven grid-based methodology that leverages big data distributed techniques, for extracting vessel mobility patterns on a global scale. The existence of a global inventory for the typical vessel behaviour patterns is crucial for the improved visibility of the global logistic chain and the timely identification of abnormal behaviour. You can find the paper here.
GMSA: A Digital Twin Application for Maritime Route and Event Forecasting
In this paper we introduce GMSA, a state-of-the-art digital 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 multi-layer information system for efficient, proactive action planning and enhanced decision making for the end-user. You can find the paper here.