Utilize este identificador para referenciar este registo:
http://hdl.handle.net/10071/15901
Registo completo
Campo DC | Valor | Idioma |
---|---|---|
dc.contributor.author | Baeta, N. | - |
dc.contributor.author | Fernandes, A. | - |
dc.contributor.author | Ferreira, J. | - |
dc.date.accessioned | 2018-05-24T15:36:53Z | - |
dc.date.available | 2018-05-24T15:36:53Z | - |
dc.date.issued | 2017 | - |
dc.identifier.issn | 1137-3601 | - |
dc.identifier.uri | http://hdl.handle.net/10071/15901 | - |
dc.description.abstract | In this research work we propose a new approach to estimate the number of passengers in a public transportation and determinate the users’ route path based on a passive approach without user intervention. The method is based on the probe requests of users mobile device through the collected data in wireless access point. This data is manipulated to extract the information about the numbers of users with mobile devices and track their route path and time. This data can be manipulated to extract useful knowledge related with users’ habits at public transportation and extract user mobility patterns. | eng |
dc.language.iso | eng | - |
dc.publisher | Asociacion Espanola de Inteligencia Artificial | - |
dc.relation | UID/MULTI/0446/2013 | - |
dc.rights | openAccess | por |
dc.subject | Wi-fi | eng |
dc.subject | Mobile device | eng |
dc.subject | Tracking | eng |
dc.subject | GPS | eng |
dc.subject | Artificial intelligent | eng |
dc.subject | Knowledge | eng |
dc.title | Mining users mobility at public transportation | eng |
dc.type | article | - |
dc.pagination | 32 - 41 | - |
dc.peerreviewed | yes | - |
dc.journal | Inteligencia Artificial | - |
dc.volume | 20 | - |
dc.number | 59 | - |
degois.publication.firstPage | 32 | - |
degois.publication.lastPage | 41 | - |
degois.publication.issue | 59 | - |
degois.publication.title | Mining users mobility at public transportation | eng |
dc.date.updated | 2019-04-05T15:03:05Z | - |
dc.description.version | info:eu-repo/semantics/acceptedVersion | - |
dc.identifier.doi | 10.4114/intartif.vol20iss59pp32-41 | - |
dc.subject.fos | Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação | por |
iscte.identifier.ciencia | https://ciencia.iscte-iul.pt/id/ci-pub-33333 | - |
iscte.alternateIdentifiers.scopus | 2-s2.0-85016048263 | - |
Aparece nas coleções: | ISTAR-RI - Artigos em revistas científicas internacionais com arbitragem científica |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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iberamia_tracking_mobility_final.pdf | Pós-print | 1,14 MB | Adobe PDF | Ver/Abrir |
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