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Investigating the mobile phone data to estimate the origin destination flow and analysis, a case study: Paris region / Anahid Nabavi-Larijani in Transportation Research Procedia, vol 6 (2015)    

Public [article]  inTransportation Research Procedia > vol 6 (2015) . - pp 64 - 78 Titre : Investigating the mobile phone data to estimate the origin destination flow and analysis, a case study: Paris region Type de document : Article/Communication Auteurs : Anahid Nabavi-Larijani, Auteur ; Ana-Maria Olteanu-Raimond , Auteur ; Julien Perret , Auteur ; Mathieu Brédif , Auteur Année de publication : 2015 Projets : iSpace&Time / Brédif, Mathieu Conférence : ISTS 2014, 4th International Symposium of Transport Simulation 01/06/2014 04/06/2014 Ajaccio France Proceedings Elsevier Article en page(s) : pp 64 - 78 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] Ile-de-France [Termes IGN] origine - destination [Termes IGN] téléphone intelligent [Termes IGN] téléphonie mobile Résumé : (auteur) This paper is an output of a French national project called iSpace&Time aiming to provide a 4 dimensional platform of an urban dynamics. In order to express the urban traffic, we took an advantage of the mobile phone data to investigate the behavior of the origin destination flow within the Paris and its suburb aiming to explore the different mode of the transportation. Indeed the spatiotemporal heterogeneities of mobile phone data make the task of mode of transportation separation very challenging, sometimes even impossible. Thus, by exploring the OD matrix in order to revealing any probable continues trends or any dominant trace of the flow stating a specific mode of transportation, the commuter trains happened to be somehow detectable. Then an individual-based step-by-step approach is proposed to estimate mode of transportation from mobile phone data. Analyzing the individual trajectory, the decision is given to a segment level with respect to different measures. An early promising outcome consists of detection of the segments in which people would take the metro. Numéro de notice : A2015-997 Affiliation des auteurs : LASTIG COGIT+Ext (2012-2019) Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.trpro.2015.03.006 Date de publication en ligne : 26/04/2015 En ligne : https://doi.org/10.1016/j.trpro.2015.03.006 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=79966 [article]

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