Big Data for Mobility Tracking Knowledge Extraction in Urban Areas (Track&Know) three-years project starts on the 1st of January 2018 and will research, develop and exploit a new software framework that aims at increasing the efficiency of Big Data applications in the transport, mobility, motor insurance and health sectors. Stemming from industrial cases, Track&Know will develop user friendly toolboxes that will be readily applicable in the addressed markets, and will be also investigated in additional domains through liaison activities with running ICT-15 Lighthouse projects.

Pilots

Track&Know recognizes that Big Data penetration is not adequately developed in niche markets outside the traditional verticals (e.g. Finance) and so the Track&Know Toolboxes will be demonstrated in three real-world Pilots using datasets from niche market scenarios to validate efficiency improvements. Performance and impact benchmarks are elaborated and will be documented during pilots deployment.

Partners

Track&Know brings together interdisciplinary research teams from Mobility Data management, Complex Event Recognition, Geospatial Modelling, Complex Network Analysis, Transportation Engineering and Visual Analytics to develop new models and applications. The project workplan embodies a holistic approach towards delivering market-relevant outcomes of significant exploitation potential.

INLECOM is the project coordinator and partners are:

  • CELERITAS MEDICAL LTD
  • CNR – CONSIGLIO NAZIONALE DELLE RICERCHE
  • FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V.
  • INTRASOFT INTERNATIONAL SA
  • KONNEKT-ABLE TECHNOLOGIES LIMITED
  • NATIONAL CENTER FOR SCIENTIFIC RESEARCH “DEMOKRITOS”
  • OCTO TELEMATICS SPA
  • PAPWORTH HOSPITAL NHS FOUNDATION TRUST
  • UNIVERSITEIT HASSELT
  • UNIVERSITÉ PIERRE ET MARIE CURIE
  • UNIVERSITY OF PIRAEUS RESEARCH CENTER
  • UNIVERSITAT ZURICH
  • ZELITRON

 

TRACK & KNOW has received funding from the European Union’s Horizon 2020 research and innovation programme, Topic H2020-ICT-16-2017- Big data PPP: research addressing main technology challenges of the data economy, under the Grant Agreement No 780754.