Identificador persistente para citar o vincular este elemento:
http://hdl.handle.net/10553/40197
Campo DC | Valor | idioma |
---|---|---|
dc.contributor.author | Cristóbal Betancor, Teresa | en_US |
dc.contributor.author | Padrón, Gabino | en_US |
dc.contributor.author | Quesada-Arencibia, Alexis | en_US |
dc.contributor.author | Alayón, Francisco | en_US |
dc.contributor.author | García Rodríguez, Carmelo Rubén | en_US |
dc.date.accessioned | 2018-06-07T13:12:05Z | - |
dc.date.available | 2018-06-07T13:12:05Z | - |
dc.date.issued | 2017 | en_US |
dc.identifier.isbn | 978-3-319-67584-8 | en_US |
dc.identifier.issn | 0302-9743 | en_US |
dc.identifier.uri | http://hdl.handle.net/10553/40197 | - |
dc.description.abstract | The quality of service has a main relevance in mass transit systems, being the reliability a key factor for this quality. A system model for the continuous transport data acquisition and computing of these data to improve the quality of service of road mass transit systems is presented in this contribution. This proposal has been conceived to provide services adapted to the needs of the travellers by a continuous monitoring of the transport activity. The data obtained by buses on boarded systems have a special relevance in the proposed model, specially the data provided by the on boarded sensors, such as GPS positioning system. The system model has been applied to analyse the reliability of the operation scheduling of a road mass transit operator, and the results of this test are presented in this paper. | en_US |
dc.language | eng | en_US |
dc.publisher | Springer | en_US |
dc.relation.ispartof | Lecture Notes in Computer Science | en_US |
dc.source | Ubiquitous Computing and Ambient Intelligence. UCAmI 2017. Lecture Notes in Computer Science, v. 10586 LNCS, p. 207-212 | en_US |
dc.subject | 3327 Tecnología de los sistemas de transporte | en_US |
dc.subject | 120304 Inteligencia artificial | en_US |
dc.subject.other | Automatic public transport planning | en_US |
dc.subject.other | GPS data | en_US |
dc.subject.other | Intelligent transport systems | en_US |
dc.title | System model for a continuous improvement of road mass transit | en_US |
dc.type | info:eu-repo/semantics/bookPart | en_US |
dc.type | bookPart | en_US |
dc.relation.conference | 11th International Conference on Ubiquitous Computing and Ambient Intelligence, (UCAmI 2017) | - |
dc.identifier.doi | 10.1007/978-3-319-67585-5_22 | en_US |
dc.identifier.scopus | 85031397279 | - |
dc.contributor.authorscopusid | 56495304700 | - |
dc.contributor.authorscopusid | 22986240200 | - |
dc.contributor.authorscopusid | 13006053800 | - |
dc.contributor.authorscopusid | 6506717943 | - |
dc.contributor.authorscopusid | 7401486323 | - |
dc.description.lastpage | 212 | en_US |
dc.description.firstpage | 207 | en_US |
dc.relation.volume | 10586 LNCS | en_US |
dc.investigacion | Ingeniería y Arquitectura | en_US |
dc.type2 | Capítulo de libro | en_US |
dc.identifier.eisbn | 978-3-319-67585-5 | - |
dc.utils.revision | Sí | en_US |
dc.date.coverdate | Enero 2017 | en_US |
dc.identifier.supplement | 0302-9743 | - |
dc.identifier.conferenceid | events121613 | - |
dc.identifier.ulpgc | Sí | en_US |
dc.description.sjr | 0,295 | |
dc.description.sjrq | Q2 | |
dc.description.spiq | Q1 | |
item.grantfulltext | none | - |
item.fulltext | Sin texto completo | - |
crisitem.event.eventsstartdate | 07-11-2017 | - |
crisitem.event.eventsenddate | 10-11-2017 | - |
crisitem.author.dept | GIR IUCES: Computación inteligente, percepción y big data | - |
crisitem.author.dept | IU de Cibernética, Empresa y Sociedad (IUCES) | - |
crisitem.author.dept | Departamento de Informática y Sistemas | - |
crisitem.author.dept | GIR IUCES: Computación inteligente, percepción y big data | - |
crisitem.author.dept | IU de Cibernética, Empresa y Sociedad (IUCES) | - |
crisitem.author.dept | Departamento de Informática y Sistemas | - |
crisitem.author.dept | GIR IUCES: Computación inteligente, percepción y big data | - |
crisitem.author.dept | IU de Cibernética, Empresa y Sociedad (IUCES) | - |
crisitem.author.dept | GIR IUCES: Computación inteligente, percepción y big data | - |
crisitem.author.dept | IU de Cibernética, Empresa y Sociedad (IUCES) | - |
crisitem.author.dept | Departamento de Informática y Sistemas | - |
crisitem.author.orcid | 0000-0002-5573-1156 | - |
crisitem.author.orcid | 0000-0002-8313-5124 | - |
crisitem.author.orcid | 0000-0002-7285-9194 | - |
crisitem.author.orcid | 0000-0003-1433-3730 | - |
crisitem.author.parentorg | IU de Cibernética, Empresa y Sociedad (IUCES) | - |
crisitem.author.parentorg | IU de Cibernética, Empresa y Sociedad (IUCES) | - |
crisitem.author.parentorg | IU de Cibernética, Empresa y Sociedad (IUCES) | - |
crisitem.author.parentorg | IU de Cibernética, Empresa y Sociedad (IUCES) | - |
crisitem.author.fullName | Padrón Morales, Gabino | - |
crisitem.author.fullName | Quesada Arencibia, Francisco Alexis | - |
crisitem.author.fullName | Alayón Hernández,Francisco Javier | - |
crisitem.author.fullName | García Rodríguez, Carmelo Rubén | - |
Colección: | Capítulo de libro |
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