Towards the real-time detection and prediction of trajectories and important events in the maritime and aviation domains
datACRON is a research and innovation action introducing novel methods for threat and abnormal activity detection in very large fleets of moving entities, spread across large geographical areas. datAcron is a Big Data project that has received funding from the European Union's Horizon 2020 Programme. It started January 2016.
The project will provide advanced data management, real-time detection and prediction algorithms for trajectories and events, and visual analytics methods, over multiple heterogeneous, voluminous, fluctuating, and noisy data streams from moving entities, correlating them with archived data that express, among others, entity characteristics, geographical information, mobility patterns, regulations and intentional data (e.g. planned routes), in a timely manner.
datACRON results will be validated and evaluated in user-defined challenges that aim at increasing the safety, efficiency and economy of operations concerning moving entities in the Air-Traffic Management and Maritime domains.
Presentations will include:
Thursday 13th October - 17h00 to 18H30
You would like to attend this session? Please contact Maité DE LA BROISE at firstname.lastname@example.org
1. datAcron: Big Data Analytics for Time Critical Mobility Forecasting. Scope and Objectives. George Vouros
2. Big Data Management Challenges for Mobility Data. Christos Doulkeridis
3. Towards Real-time Trajectory Prediction. Nikos Pelekis, Yannis Theodoridis, Anne-Laure Jousselme, ...
4. Event Recognition and Forecasting in Time-Critcal Domains. Giorgos Paliouras, Alex Artikis, Elias Alevizos
5. Visual Analytics for Big Mobility Data. Gennady Andrienko, Natalia Andrienko, Georg Fuchs
Christophe Claramunt, Professor, Deputy Director, Naval Academy Research Institute