Joint Spatial and Temporal Classification of Mobile Traffic Demands Angelo Furno, Marco Fiore, Razvan Stanica To cite this version: Angelo Furno, Marco Fiore, Razvan Stanica. Joint Spatial and Temporal Classification of Mobile Traffic Demands. INFOCOM 2017 – 36th Annual IEEE International Conference on Computer Com- munications, May 2017, Atlanta, United States. pp. 1-9. hal-01514402 HAL Id: hal-01514402 https://hal.inria.fr/hal-01514402 Submitted on 26 Apr 2017 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Joint Spatial and Temporal Classification of Mobile Traffic Demands Angelo Furno∗y, Marco Fiorez, Razvan Stanica∗ ∗ Universite´ de Lyon, INRIA, INSA-Lyon, CITI-INRIA, F-69621 Villeurbanne, France –
[email protected] y Universite´ de Lyon, IFSTTAR, ENTPE, F-69675 Lyon, France –
[email protected] z CNR – IEIIT, Corso Duca degli Abruzzi 24, 10129 Torino, Italy – marco.fi
[email protected] Abstract—Mobile traffic data collected by network operators is Analysis (EFA), a well established instrument in psychology a rich source of information about human habits, and its analysis research. As detailed in Sec. III, EFA aims at identifying, in provides insights relevant to many fields, including urbanism, a fully automated way, latent factors that cause the dynamics transportation, sociology and networking.