Record #185012 - GSI Repository

datACRON

Big Data Analytics for Time Critical Mobility Forecasting

Coordinator	FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V. ; École Navale ; IMIS GLOBAL LIMITED ; ECOLE NAVALE GROUPEMENT INTERET PUBLIC ; UNIVERSITY OF PIRAEUS RESEARCH CENTER ; National Centre of Scientific Research Demokritos ; CENTRO DE REFERENCIA INVESTIGACION DESARROLLO E INNOVACION ATM, A.I.E. ; BOEING RESEARCH & TECHNOLOGY EUROPE S.L.U. ; NATO Science and Technology Organization
Grant period	2016-01-01 - 2018-12-31
Funding body	European Union
Call number	H2020-ICT-2015
Grant number	687591
Identifier	G:(EU-Grant)687591

Note: datACRON is a research and innovation collaborative project introducing novel methods for threat and abnormal activity detection in very large fleets of moving entities spread across large geographical areas.Specifically, datACRON aims to develop novel methods for real-time detection and prediction of trajectories and important events related to moving entities, together with advanced visual analytics methods, over multiple heterogeneous, voluminous, fluctuating, and noisy data streams from moving entities, correlating them with archived data expressing, among others, entities’ characteristics, geographical information, mobility patterns, regulations and intentional data (e.g. planned routes), in a timely manner. Technological developments are validated and evaluated in user-defined challenges focusing on increasing the safety, efficiency and economy of operations concerning moving entities in the Air-Traffic Management and Maritime domains. The datACRON project brings together partners from academia and industry to develop the aforementioned novel methods, together with user and data-provision partners from the two domains, in close relation to user-interest groups, focusing on real-life, industrial and user-defined challenges concerning operations (e.g. surveillance, forecasting of trajectories, characterization, etc.) regarding moving entities in sea and air.

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Record created 2016-02-14, last modified 2023-02-12

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