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City mobility and night life monitor

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datacite.subject.fosEngenharia e Tecnologia::Engenharia Mecânica
dc.contributor.authorElvas, Luis B.
dc.contributor.authorNunes, Miguel
dc.contributor.authorFrancisco, Bruno
dc.contributor.authorDomingues, Nuno
dc.contributor.authorSoares Domingues, Nuno Alexandre
dc.date.accessioned2026-09-23T15:20:51Z
dc.date.available2026-09-23T15:20:51Z
dc.date.issued2023
dc.descriptionCopyright © 2024, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
dc.description.abstractThis paper presents an Internet of Things (IoT) system designed to collect and analyse information regarding the travel patterns and movements of individuals in densely populated locations, in the context of smart cities. People’s movements are retrieved from coarse-grained aggregated cellular network data without collecting sensitive information from mobile devices and users. These data were provided by a Portuguese cellular operator to the Lisbon City Council to characterize people movements in the city. In this sense, the mobile phones act as useful sensor devices for collecting rich spatiotemporal information about human movement patterns. The purpose of this research work is to create a machine learning-based data-driven approach that is able to receive anonymised data from telecommunication operators to provide a big picture about citizen mobility in the city and to identify patterns based on the collected data, in order to provide relevant information for city planning and events coordination. Some of the main applications of the proposed system are the coordination of big events and the management and control of commuting traffic.por
dc.description.sponsorshipPT-INNOVATION-0069–Fish2Fork
dc.identifier.citationElvas, L.B., Nunes, M., Francisco, B., Domingues, N. (2024). City Mobility and Night Life Monitor. In: Martins, A.L., Ferreira, J.C., Kocian, A., Tokkozhina, U., Helgheim, B.I., Bråthen, S. (eds) Intelligent Transport Systems. INTSYS 2023. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 540. Springer, Cham. https://doi.org/10.1007/978-3-031-49379-9_7
dc.identifier.doi10.1007/978-3-031-49379-9_7
dc.identifier.isbn978-3-031-49378-2
dc.identifier.issn1867-8211
dc.identifier.urihttp://hdl.handle.net/10400.21/23184
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSpringer, Cham
dc.rights.uriN/A
dc.subjectSustainable smart cities
dc.subjectDecision-support systems
dc.subjectUrban population forecasting
dc.subjectAggregated mobile network data
dc.subjectDeep learning
dc.subjectUrban analytics
dc.subjectSmart city governance
dc.subjectPrivacy-preserving data
dc.subjectMachine learning
dc.subjectBig data
dc.subjectMobility patterns
dc.subjectIoT
dc.titleCity mobility and night life monitorpor
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferenceDate2024
oaire.citation.conferencePlaceItália
oaire.citation.titleIntelligent Transport Systems
oaire.citation.volume540
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameSoares Domingues
person.givenNameNuno Alexandre
person.identifier.ciencia-idB416-C3B2-2CBF
person.identifier.orcid0000-0003-0763-8106
relation.isAuthorOfPublicationd9437ee3-91ad-4034-91f1-4dd3f097c16c
relation.isAuthorOfPublication.latestForDiscoveryd9437ee3-91ad-4034-91f1-4dd3f097c16c

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ISEL - Eng. Mecan. - Comunicações