Estimation and monitoring of city-to-city travel times using call detail records

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorKujala, Rainer
dc.contributor.authorAledavood, Talayeh
dc.contributor.authorSaramäki, Jari
dc.contributor.departmentDepartment of Computer Science
dc.date.accessioned2017-05-11T07:35:59Z
dc.date.available2017-05-11T07:35:59Z
dc.date.issued2016-12-01
dc.description.abstractWhenever someone makes or receives a call on a mobile telephone, a Call Detail Record (CDR) is automatically generated by the operator for billing purposes. CDRs have a wide range of applications beyond billing, from social science to data-driven development. Recently, CDRs have been increasingly used to study human mobility, whose understanding is crucial e.g. for planning efficient transportation infrastructure. A major difficulty in analyzing human mobility using CDR data is that the location of a cell phone user is not recorded continuously but typically only when a call is initiated or a text message is sent. In this paper we address this problem, and develop a method for estimating travel times between cities based on CDRs that relies not on individual trajectories of people, but their collective statistical properties. We apply our method to data from Senegal, released by Sonatel and Orange for the 2014 Data for Development Challenge. We turn CDR mobility traces to estimates on travel times between Senegalese cities, filling an existing gap in knowledge. Moreover, the proposed method is shown to be highly valuable for monitoring travel conditions and their changes in near real-time, as demonstrated by measuring the decrease in travel times due to the opening of the Dakar-Diamniadio highway. Overall, our results indicate that it is possible to extract reliable de facto information on typical travel times that is useful for a variety of audiences ranging from casual travelers to transport infrastructure planners.en
dc.description.versionPeer revieweden
dc.format.extent16
dc.format.mimetypeapplication/pdf
dc.identifier.citationKujala , R , Aledavood , T & Saramäki , J 2016 , ' Estimation and monitoring of city-to-city travel times using call detail records ' , EPJ Data Science , vol. 5 , no. 1 , 6 . https://doi.org/10.1140/epjds/s13688-016-0067-3en
dc.identifier.doi10.1140/epjds/s13688-016-0067-3
dc.identifier.issn2193-1127
dc.identifier.otherPURE UUID: 62949e81-3c6a-47f8-b14e-92eaa38695a5
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/62949e81-3c6a-47f8-b14e-92eaa38695a5
dc.identifier.otherPURE LINK: http://www.scopus.com/inward/record.url?scp=84959569429&partnerID=8YFLogxK
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/11452086/art_10.1140_epjds_s13688_016_0067_3.pdf
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/25553
dc.identifier.urnURN:NBN:fi:aalto-201705113937
dc.language.isoenen
dc.relation.ispartofseriesEPJ DATA SCIENCEen
dc.relation.ispartofseriesVolume 5, issue 1en
dc.rightsopenAccessen
dc.subject.keywordcall detail records
dc.subject.keyworddata for development
dc.subject.keywordmobile phones
dc.subject.keywordnear real-time monitoring
dc.subject.keywordtravel time estimation
dc.titleEstimation and monitoring of city-to-city travel times using call detail recordsen
dc.typeA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessäfi
dc.type.versionpublishedVersion
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