Blog

dataACRON, Big Data Analytics for Time Critical Mobility Forecasting, H2020

Authors: Vouros GA
Title: dataACRON, Big Data Analytics for Time Critical Mobility Forecasting, H2020
Abstract:

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

Journal: Impact
Volume: 2017
Number: 5
Pages: 75-77
Year: 2017
Url: http://www.ingentaconnect.com/content/sil/impact/2017/00002017/00000005/art00026
DOI: http://dx.doi.org/10.2182/23987073.2017.5.75