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Big Data for Mobility Tracking Knowledge Extraction in Urban Areas

Objectif

Track&Know 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. Track&Know integrates multidisciplinary 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. 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. The Track&Know consortium is composed by complementary partners, coming from addressed research, technological and commercial domains, that have a proven track record of high quality research capacity. Thus, the carefully structured workplan, embodies a holistic approach towards meeting the Track&Know objectives and delivering market-relevant outcomes of significant exploitation potential.

Appel à propositions

H2020-ICT-2016-2017

Voir d’autres projets de cet appel

Sous appel

H2020-ICT-2017-1

Coordinateur

INLECOM SYSTEMS LTD
Contribution nette de l'UE
€ 332 012,94
Adresse
60 MANSFIELD ROAD, WANSTEAD
E11 2JN London
Royaume-Uni

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PME

L’entreprise s’est définie comme une PME (petite et moyenne entreprise) au moment de la signature de la convention de subvention.

Oui
Région
London Outer London — East and North East Redbridge and Waltham Forest
Type d’activité
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Liens
Coût total
€ 558 905,75

Participants (15)