%0 Conference Proceedings %T Using mobile phone data analysis for the estimation of daily urban dynamics %+ Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux (SAMOVAR) %+ Département Electronique et Physique (EPH) %+ IRT SystemX %+ Centre National de la Recherche Scientifique (CNRS) %+ Réseaux, Systèmes, Services, Sécurité (R3S-SAMOVAR) %+ Département Réseaux et Services de Télécommunications (RST) %+ ARMEDIA (ARMEDIA-SAMOVAR) %A Bachir, Danya %A Gauthier, Vincent %A El Yacoubi, Mounim %A Khodabandelou, Ghazaleh %< avec comité de lecture %Z 18606 %( Proceedings ITSC 2017 : 20th International Conference on Intelligent Transportation Systems %B ITSC 2017 : 20th International Conference on Intelligent Transportation Systems %C Yokohama, Japan %I IEEE Computer Society %P 626 - 632 %8 2017-10-16 %D 2017 %R 10.1109/ITSC.2017.8317956 %K Mobile Phone Data %K Big Data %K Data Analysis %K Machine learning %K Population Monitoring %K Urban dynamics %Z Engineering Sciences [physics]/Signal and Image processingConference papers %X The estimation of population dynamics has become a crucial public transport planning issue. The scope of this paper is the estimation of time variant population densities at fine-grained level using geolocalized mobile phone (MP) data. After preprocessing anonymized aggregated MP data of the complete Greater Paris area, we apply spatial mapping methods to project the MPs locations from network cells to census blocks. Prior to the calibration of MP densities with national census population (static model), we estimate blocks land-use to filter out noisy areas. Our loglinear regression model achieves high performance regarding several metrics, and our hybrid mapping method grants competitive performance with respect to the state of the art. Following our static parameters interpretation, we provide a novel relation for daily population dynamics. We validate this dynamic model with sport events attendances %G English %L hal-01745767 %U https://hal.science/hal-01745767 %~ INSTITUT-TELECOM %~ CNRS %~ TELECOM-SUDPARIS %~ IRT-SYSTEMX %~ UNIV-PARIS-SACLAY %~ TELECOM-SUDPARIS-SACLAY %~ INSTITUTS-TELECOM