Big Data Analytics for Time Critical Mobility Forecasting

Objective

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.

Field of science

• /natural sciences/computer and information sciences/data science/big data
• /natural sciences/computer and information sciences/data science/data analysis

Programme(s)

• H2020-EU.2.1.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)

Topic(s)

• ICT-16-2015 - Big data - research

Call for proposal

H2020-ICT-2015
See other projects for this call

Funding Scheme

Coordinator

Participants (7)