Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/26630
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dc.contributor.authorBonnel, Patrick-
dc.contributor.authorFEKIH, Mariem-
dc.contributor.authorSmoreda, Zbigniew-
dc.date.accessioned2018-08-07T10:17:36Z-
dc.date.available2018-08-07T10:17:36Z-
dc.date.issued2018-
dc.identifier.citationTransportation research procedia, 32, p. 69-81-
dc.identifier.issn2352-1465-
dc.identifier.urihttp://hdl.handle.net/1942/26630-
dc.description.abstractMobile phone operators produce enormous amounts of data. In this paper we present applications performed with a dataset (probe data) collected by the operator Orange in 2017 in Rhône Alpes Region, France. Trips are deduced from the spatiotemporal trajectory of devices through a hypothesis of stationarity in order to define activities. Trips are then aggregated in an origin-destination matrix which is compared with traditional data (household travel survey). With some hypothesis we obtain somewhat similar origin-destination matrix, with a slope close to one when we regress the number of trips of each origindestination from mobile phone data with household survey data.-
dc.language.isoen-
dc.subject.otherorigin-destination matrix; mobile phone data; travel survey; passive data; Rhône-Alpes-
dc.titleOrigin-Destination estimation using mobile network probe data-
dc.typeProceedings Paper-
dc.identifier.epage81-
dc.identifier.spage69-
dc.identifier.volume32-
local.bibliographicCitation.jcatC1-
dc.description.notesBonnel, P (reprint author), ENTPE, Lab Amenagement Econ Transports, Lyon, France. patrick.bonnel@entpe.fr; mariem.fekih@orange.com; zbigniew.smoreda@orange.com-
local.type.refereedRefereed-
local.type.specifiedProceedings Paper-
dc.identifier.doi10.1016/j.trpro.2018.10.013-
dc.identifier.isi000471307900008-
local.bibliographicCitation.btitleTransport Survey Methods in the Era of Big Data: Facing the challenges-
item.fulltextWith Fulltext-
item.fullcitationBonnel, Patrick; FEKIH, Mariem & Smoreda, Zbigniew (2018) Origin-Destination estimation using mobile network probe data. In: Transportation research procedia, 32, p. 69-81.-
item.accessRightsOpen Access-
item.contributorBonnel, Patrick-
item.contributorFEKIH, Mariem-
item.contributorSmoreda, Zbigniew-
item.validationecoom 2020-
item.validationvabb 2020-
crisitem.journal.issn2352-1465-
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