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"TA programm nutika spetsialiseerumise kasvuvaldkondades (NUTIKAS)" project LLTAT16479
LLTAT16479 "Population Movement Analytics, Monitoring and Prediction Algorithms (8.09.2016−8.09.2019)", Amnir Hadachi, University of Tartu, Faculty of Science and Technology, Institute of Computer Science.
Rahvastiku liikumise analüütika, seire ja ennustamise algoritmid
Population Movement Analytics, Monitoring and Prediction Algorithms
R&D project
TA programm nutika spetsialiseerumise kasvuvaldkondades (NUTIKAS)
ETIS classificationSubfieldCERCS classificationFrascati Manual classificationPercent
4. Natural Sciences and Engineering4.6. Computer SciencesP175 Informatics, systems theory 1.2 Computer and information sciences100,0
08.09.2016−08.09.2019248 700,00 EUR
248 700,00 EUR

Nowadays, the fast development of positioning and telecommunication technologies has made geospatial data widely available from a variety of sources: GPS devices, smartphones, tablets, etc. This allows for a variety of uses of this data for a good cause. This type of data can be very helpful in designing smart and sustainable cities as information extracted from this spatiotemporal data can be used to measure and evaluate population movement, road traffic, the impact of urban planning policies, etc. Thus, our main objectives in this project are shaped around the idea of modeling human mobility and prediction because it is the key step towards a new, smart, innovative and sustainable living environment. Most of the research in this field has worked on call detail record (CDR) and data detail record (DDR) data that is widely available to researchers through thirdparty partners (albeit retroactively and heavily filtered). These records contain information (timestamps, locations on a mobile network cell level, etc.) about calls and data sessions that mobile network operators use for billing purposes. In addition to that, Mooncascade has developed a platform that is able to provide a realtime anonymized feed of VLR data used internally in the network operators' core networks for call switching and mobility management. There has been significant interest in using it by mobile network operators. By partnering up with Mooncascade, Tartu University will gain a valuable new, realtime data source for research in addition to less restricted access to traditional CDR/DDR data.
Description in EstonianPercent
Basic Research20,0
Applied Research70,0
Experimental Research10,0