Adding significant value to real-time tracking and forecasting mobility
Welcome to datAcron
About the project
datAcron addresses core challenges related to the European Big Data Vision towards increasing our abilities to acquire, integrate, process, analyse and visualize data-in-motion and data-at-rest in integrated manners.
datAcron will address requirements from the air-traffic management and maritime domains by developing advanced tools for detecting and visualizing threats, abnormal activity, increasing the safety and efficiency of operations related to vessels and airplanes, and further reducing the impact of these operations on the environment.
datAcron advances 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.
Challenges & Objectives
Distributed management and querying of integrated spatiotemporal RDF data-at-rest and data-in-motion in integrated manners
datAcron will advance RDF data processing and spatio-temporal query answering for very large numbers of real-world triples and spatio-temporal queries, providing also native support for trajectory data, handling (semantic) trajectories as first-class citizens in data processing. In situ data processing and link discovery for data integration are critical technologies to those targets.
Detection and prediction of trajectories of moving entities in the Aviation and Maritime Domains
datAcron will develop novel methods for real-time trajectory reconstruction, aiming at efficient large-scale mobility data analytics.
Real-time trajectories forecasting for the aviation and maritime domains aim to a short forecasting horizon.
Recognition and Forecasting of Complex Events in the Aviation and Maritime Domains
datAcron will develop methods for event recognition under uncertainty in noisy settings, aiming at processing very large number of events/second with complex event definitions.
In doing so, optimization of complex events patterns’ structure and parameters by means of machine learning methods for constructing event patterns is within datAcron objectives.
Visual Analytics in the Aviation and Maritime Domains
datAcron aims to develop a general visual analytics infrastructure supporting all steps of analysis through appropriate interactive visualizations, including both generic components and components tailored for specific applications.
Validation and Evaluation of Results in Critical Domains
Air Traffic Management: Knowing with precision the trajectory of commercial airplanes is a key element for many business processes related not only to air traffic management but to aircraft operations in general.
Maritime: Analyzing the evolution of marine traffic in different time scales can provide support to the maritime spatial planning operations, inform the traffic modeling and simulation techniques; refine search and rescue operations, ot identifying vessels responsible for oil spill detections