datAcron: Big Data Analytics for Time Critical Mobility Forecasting

datAcron project is funded by the European Union’s Horizon 2020 Programme under grant agreement No. 687591.

datAcron is a research and innovation collaborative project targeting at introducing novel methods to detect threats and abnormal activity of very large numbers of moving entities in large geographic areas.

Towards this target, aims to advance the management and integrated exploitation of voluminous and heterogeneous data-at-rest (archival data) and data-in-motion (streaming data) sources, so as to significantly advance the capacities of systems to promote safety and effectiveness of critical operations for large numbers of moving entities in large geographical areas.

Technological developments in 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 (ATM) and maritime domains.

Further information can be found in

01/01/2016 - 31/12/2018

datAcron addresses core challenges related to the European Big Data Vision towards increasing our abilities to acquire, integrate, process, analyze and visualize data-in-motion and data-at-rest.

The datAcron core challenges are as follows:

Distributed management and querying of integrated spatiotemporal RDF data-at-rest and data-in-motion in integrated manners.

Detection and prediction of trajectories of moving entities in the Aviation and Maritime Domains

Recognition and Forecasting of Complex Events in the Aviation and Maritime Domains

Visual Analytics in the Aviation and Maritime Domains

Funding Body: 

EU via the H2020 programme.

Research topic: 

Big Data, Very large RDF data management and integration, integration of cross-streaming and archival data, data analytics for the prediction of trajectories and events, visual analytics, datAcron big data architecture