A Scalable System for Maritime Route and Event Forecasting

Digital twins serve as virtual representations of physical environments that are increasingly valuable across various sectors, including maritime operations. The complexity of monitoring vessel traffic through the Automatic Identification System (AIS), demands more sophisticated, data-driven approaches due to the extreme vessel volume and intricate vessel movement patterns.

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

OUR WORLDWIDE PARTNERS
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December 3, 2023
Big Data
Machine Learning
Navigating through dense waters: a toolbox for creating maritime density maps
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December 3, 2023
Big Data
Data Driven Digital Twins for the Maritime Domain
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December 4, 2023
Satellite Imagery
Vessel Traffic Density Maps Based on Vessel Detection in Satellite Imagery
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December 4, 2023
Big Data
COVID-19 impact on global maritime mobility
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December 4, 2023
Machine Learning
A computer vision approach for trajectory classification
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December 4, 2023
Big Data
A Big Data framework for Modelling and Simulating high-resolution hydrodynamic models in sea harbours
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December 4, 2023
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Modelling and simulating vessel emissions in real time based on terrestrial AIS data
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December 4, 2023
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Vessel detection using image processing and Neural Networks
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December 10, 2023
Big Data
MongoDB Vs PostgreSQL: A comparative study on performance aspects
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December 10, 2023
Machine Learning
Big Data
A distributed framework for extracting maritime traffic patterns
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December 10, 2023
Artificial Intelligence
Satellite Imagery
Automatic Maritime Object Detection Using Satellite imagery
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December 10, 2023
Satellite Imagery
Vessel detection using image processing and Neural Networks
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December 10, 2023
Stream Processing
Real-time maritime anomaly detection: detecting intentional AIS switch-off
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December 10, 2023
Machine Learning
Stream Processing
Industry Paper: Classification of vessel activity in streaming data
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December 10, 2023
Data Fusion
Machine Learning
Automatic Fusion of Satellite Imagery and AIS data for Vessel Detection
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December 10, 2023
Big Data
Machine Learning
A distributed spatial method for modeling maritime routes
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December 10, 2023
Big Data
Machine Learning
A data driven approach to maritime anomaly detection
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December 10, 2023
Artificial Intelligence
Monitoring Marine Protected Areas using Data Fusion and AI Techniques
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December 10, 2023
Big Data
Machine Learning
Anomaly Detection white paper
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December 10, 2023
Big Data
Machine Learning
Stream Processing
A distributed lightning fast maritime anomaly detection service
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December 15, 2023
Autonomous Vessels
Data Fusion
Preliminary Inter-comparison of AIS Data and Optimal Ship Tracks
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December 15, 2023
Big Data
Machine Learning
A comparison of supervised learning schemes for the detection of search and rescue (SAR) vessel patterns
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December 15, 2023
Big Data
BigDataOcean Project: Early Anomaly Detection from Big Maritime Vessel Traffic Data
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December 15, 2023
Machine Learning
Vessel Profile Indicators using Fuzzy Logic Reasoning and AIS
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December 15, 2023
Artificial Intelligence
Autonomous Vessels
Real Time Autonomous Maritime Navigation using Dynamic Visibility Graphs
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December 15, 2023
Big Data
Stream Processing
Countering Real-Time Stream Poisoning: An Architecture for Detecting Vessel Spoofing in Streams of AIS Data
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December 15, 2023
Big Data
Machine Learning
Mining Vessel Trajectory Data for Patterns of Search and Rescue
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January 10, 2024
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SELECT – Artificial Intelligence in Inland Navigation
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January 10, 2024
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CADMUSS – an innovative project to improve maritime safety
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January 10, 2024
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Determining the bilge water waste risk and management in the Gulf of Antalya by the Monte Carlo method
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January 10, 2024
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FleetMon Supports the Development of Environmental Impact Assessment on the Brazilian Coast
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January 10, 2024
Emissions
Scrapping Probabilities and Committed CO2 Emissions of the International Ship Fleet
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January 10, 2024
Emissions
The CO2 reduction potential of shore-side electricity in Europe
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January 10, 2024
Emissions
Estimation of worldwide ship emissions using AIS signals
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January 10, 2024
Machine Learning
Routing Network
Scalable In-Database Machine Learning for the Prediction of Port-to-Port Routes
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January 10, 2024
Emissions
Green shipping: using AIS data to assess global emissions
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January 10, 2024
Routing Network
How a real-time-based sea traffic forecast helps to organize and optimize the flow of maritime goods
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January 10, 2024
Routing Network
Generating a node in an AIS-based routing graph for improved Estimated Time of Arrival. (Big) Data challenge: using AIS for generating a routing graph
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January 10, 2024
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Composition, spatial distribution and sources of macro-marine litter on the Gulf of Alicante seafloor (Spanish Mediterranean)
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January 10, 2024
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Climate change, non-indigenous species and shipping: assessing the risk of species introduction to a high-Arctic archipelago
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January 15, 2024
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The Big Picture: An Improved Method for Mapping Shipping Activities
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April 10, 2024
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GMSA: A Digital Twin Application for Maritime Route and Event Forecasting
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April 11, 2024
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A Scalable System for Maritime Route and Event Forecasting
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April 11, 2024
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Patterns of Life : Global Inventory for maritime mobility patterns
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