dc.creator | Barbancho Concejero, Julio | es |
dc.creator | Ropero Rodríguez, Jorge | es |
dc.creator | Luque Rodríguez, Joaquín | es |
dc.creator | Caraballo, Alejandro | es |
dc.creator | León de Mora, Carlos | es |
dc.date.accessioned | 2020-01-17T08:41:49Z | |
dc.date.available | 2020-01-17T08:41:49Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | Barbancho Concejero, J., Ropero Rodríguez, J., Luque Rodríguez, J., Caraballo, A. y León de Mora, C. (2019). Social Parking: Applying the Citizens as Sensors Paradigm to Parking Guidance and Information. Sustainability, 11 (23) | |
dc.identifier.issn | 2071-1050 | es |
dc.identifier.uri | https://hdl.handle.net/11441/91777 | |
dc.description.abstract | Nowadays, the problem of parking guidance information (PGI) is one of the great challenges
of smart cities. Sensor networks have been traditionally used, but they sometimes constitute a high
administrative cost. For this reason, this paper presents social parking, a system that is based on the
citizens as sensors paradigm, where data are collected by users and are processed using data mining
techniques. Moreover, an ontology is used to enable the standardization of information. This way,
social parking is compatible with the FIWARE platform. A forecast algorithm was also designed and
verified to estimate the number of free parking spots inside a parking lot. With this aim, we used
public parking data from eight parking lots in the city of Zaragoza. Client applications allowed
testing of all the functions of the parking system. These tests were carried out in three experimental
parking lots in the city of Málaga. | es |
dc.description.sponsorship | Ministerio de Ciencia, Innovación y Universidades ITC-20131092 | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | MDPI | es |
dc.relation.ispartof | Sustainability, 11 (23) | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Parking guidance and information (PGI) | es |
dc.subject | Intelligent transportation systems (ITS) | es |
dc.subject | Data mining | es |
dc.subject | Forecast algorithm | es |
dc.subject | Citizens as sensors | es |
dc.subject | Smart cities | es |
dc.title | Social Parking: Applying the Citizens as Sensors Paradigm to Parking Guidance and Information | es |
dc.type | info:eu-repo/semantics/article | es |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Tecnología Electrónica | es |
dc.relation.projectID | ITC-20131092 | es |
dc.relation.publisherversion | https://www.mdpi.com/2071-1050/11/23/6549 | es |
dc.identifier.doi | 10.3390/su11236549 | es |
idus.format.extent | 19 | es |
dc.journaltitle | Sustainability | es |
dc.publication.volumen | 11 | es |
dc.publication.issue | 23 | es |