Big Data for Mobility Tracking Knowledge Extraction in Urban Areas |
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Written by Harris Georgiou
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Tuesday, 06 October 2009 22:45 |
- Description:
- "Track & Know (T&K) - Big Data for Mobility Tracking Knowledge Extraction in Urban Areas" addresses the topic “ICT-16-2017 / Big data PPP” exploring the research addressing main technology challenges of the data economy in the context of Big data. T&K 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, T&K 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. T&K 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. T&K recognizes that Big Data penetration is not adequately developed in niche markets outside the traditional verticals (e.g. Finance) and so the T&K 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 T&K 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 T&K objectives and delivering market-relevant outcomes of significant exploitation potential.
- Keywords: urban flows, mobility patterns, trajectory prediction, data analytics
Notice: The DART project is currently under development. Publication of all the material and results related to this work is limited due to IPR limitations, until the last stages of the project by the end of 2017. Any material that is accessible here is granted under the terms of the copyright notice included in this page.
All the documents and related material by Harris Georgiou are licensed, in parts and as a whole, under a Creative Commons Attribution-Non-Commercial-Share Alike 3.0 Unported License. All the code sources and related material by Harris Georgiou are licensed, in parts and as a whole, under a EU Public License.
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Last Updated on Sunday, 11 February 2018 19:28 |