Please use this identifier to cite or link to this item:
http://hdl.handle.net/10553/23527
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Padrón, Gabino | en_US |
dc.contributor.author | Cristóbal Betancor, Teresa | en_US |
dc.contributor.author | Alayón, Francisco | en_US |
dc.contributor.author | Quesada-Arencibia, Alexis | en_US |
dc.contributor.author | García, Carmelo R. | en_US |
dc.date.accessioned | 2017-09-14T02:31:11Z | - |
dc.date.accessioned | 2018-03-15T14:37:40Z | - |
dc.date.available | 2017-09-14T02:31:11Z | - |
dc.date.available | 2018-03-15T14:37:40Z | - |
dc.date.issued | 2017 | en_US |
dc.identifier.issn | 1424-8220 | en_US |
dc.identifier.uri | http://hdl.handle.net/10553/23527 | - |
dc.description.abstract | Quality is an essential aspect of public transport. In the case of regular public passenger transport by road, punctuality and regularity are criteria used to assess quality of service. Calculating metrics related to these criteria continuously over time and comprehensively across the entire transport network requires the handling of large amounts of data. This article describes a system for continuously and comprehensively monitoring punctuality and regularity | en_US |
dc.format | application/pdf | es |
dc.language | eng | en_US |
dc.relation.ispartof | Sensors | en_US |
dc.rights | by-nc-nd | es |
dc.source | Sensors (Switzerland) [ISSN 1424-8220], v. 17 (6) (1412) | en_US |
dc.subject | 120304 Inteligencia artificial | en_US |
dc.subject | 3327 Tecnología de los sistemas de transporte | en_US |
dc.subject.other | Intelligent transport systems | en_US |
dc.subject.other | Public transport systems | en_US |
dc.subject.other | Operation control | en_US |
dc.subject.other | Automatic vehicle location | en_US |
dc.title | System proposal for mass transit service quality control based on GPS data | en_US |
dc.type | info:eu-repo/semantics/Article | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.3390/s17061412 | |
dc.identifier.scopus | 85020929985 | |
dc.identifier.isi | 000404553900228 | - |
dc.contributor.authorscopusid | 22986240200 | |
dc.contributor.authorscopusid | 56495304700 | |
dc.contributor.authorscopusid | 6506717943 | |
dc.contributor.authorscopusid | 13006053800 | |
dc.contributor.authorscopusid | 7401486323 | |
dc.identifier.crisid | 2612;-;1493;2988;- | - |
dc.identifier.eissn | 1424-8220 | - |
dc.identifier.issue | 6 | - |
dc.relation.volume | 17 | - |
dc.investigacion | Ingeniería y Arquitectura | en_US |
dc.rights.accessrights | info:eu-repo/semantics/openAccess | en_US |
dc.type2 | Artículo | en_US |
dc.contributor.daisngid | 2375619 | |
dc.contributor.daisngid | 4451412 | |
dc.contributor.daisngid | 1986574 | |
dc.contributor.daisngid | 6245793 | |
dc.contributor.daisngid | 1412377 | |
dc.identifier.external | 2612;1493;2988 | - |
dc.identifier.external | WOS:000404553900228 | - |
dc.contributor.wosstandard | WOS:Padron, G | |
dc.contributor.wosstandard | WOS:Cristobal, T | |
dc.contributor.wosstandard | WOS:Alayon, F | |
dc.contributor.wosstandard | WOS:Quesada-Arencibia, A | |
dc.contributor.wosstandard | WOS:Garcia, CR | |
dc.date.coverdate | Junio 2017 | |
dc.identifier.ulpgc | Sí | es |
dc.description.sjr | 0,584 | |
dc.description.jcr | 2,475 | |
dc.description.sjrq | Q2 | |
dc.description.jcrq | Q2 | |
dc.description.scie | SCIE | |
item.grantfulltext | open | - |
item.fulltext | Con texto completo | - |
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.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 | 0000-0002-7285-9194 | - |
crisitem.author.orcid | 0000-0002-8313-5124 | - |
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 | Alayón Hernández,Francisco Javier | - |
crisitem.author.fullName | Quesada Arencibia, Francisco Alexis | - |
crisitem.author.fullName | García Rodríguez, Carmelo Rubén | - |
Appears in Collections: | Artículos |
SCOPUSTM
Citations
4
checked on Nov 17, 2024
WEB OF SCIENCETM
Citations
3
checked on Nov 17, 2024
Page view(s)
112
checked on May 18, 2024
Download(s)
163
checked on May 18, 2024
Google ScholarTM
Check
Altmetric
Share
Export metadata
Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.