DC FieldValueLanguage
dc.contributor.authorAnagnostopoulos, Theodoros-
dc.contributor.authorNtalianis, Klimis-
dc.contributor.authorFedchenkov, Petr-
dc.contributor.authorSosunova, Inna-
dc.contributor.authorSadov, Oleg-
dc.contributor.authorZaslavsky, Arkady-
dc.date.accessioned2024-07-04T09:51:10Z-
dc.date.available2024-07-04T09:51:10Z-
dc.date.issued2018-01-01-
dc.identifierscopus-85054847595-
dc.identifier.isbn978-3-030-01168-0-
dc.identifier.isbn978-3-030-01167-3-
dc.identifier.issn1611-3349-
dc.identifier.issn0302-9743-
dc.identifier.other85054847595-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/2665-
dc.description.abstractInternet of Things (IoT) enables Smart Cities (SC) with novel services for the citizens’ well-being. A Smart Parking (SP) system is an important part of the SC infrastructure, which enables the efficient handling of the demanding SC traffic congestion conditions. Such a system also protects the urban environment towards a green ecosystem. In this paper, we consider Artificial Intelligence (AI) algorithms towards processing of data produced by parking lots and disseminated by IoT technology in the SC of St. Petersburg in Russia. Such algorithms enhance the proposed SP system to predict the number of unoccupied parking lots within the SC parking places. In addition, the SP system uses vehicle navigation to decide the optimal parking place according the current vehicle location and the availability of parking lots in the SC.en_US
dc.language.isoenen_US
dc.relation.ispartofInternet of Things, Smart Spaces, and Next Generation Networks and Systems: Proceedings of the 18th International Conference, NEW2AN 2018, and 11th Conference, ruSMART 2018en_US
dc.relation.ispartofseriesLecture Notes in Computer Scienceen_US
dc.subjectArtificial Intelligence (AI)en_US
dc.subjectGenetic algorithmsen_US
dc.subjectInternet of Things (IoT)en_US
dc.subjectRecurrent Neural Networks (RNN)en_US
dc.subjectSmart citiesen_US
dc.titleAn Artificial Intelligence Based Forecasting in Smart Parking with IoTen_US
dc.typeConference Paperen_US
dc.relation.conference18th International Conference on Next Generation Wired/Wireless Advanced Networks and Systems, NEW2AN 2018, the 11th Conference on Internet of Things and Smart Spaces, ruSMART 2018, 27–29 August 2018, St. Petersburg, Russiaen_US
dc.identifier.doi10.1007/978-3-030-01168-0_4en_US
dc.identifier.scopus2-s2.0-85054847595-
dcterms.accessRights0en_US
dc.relation.deptDepartment of Business Administrationen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.identifier.spage33en_US
dc.identifier.epage40en_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.subject.fieldEngineering and Technologyen_US
dc.journalsOpen Accessen_US
dc.publicationPeer Revieweden_US
dc.countryGreeceen_US
local.metadatastatusverifieden_US
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairetypeConference Paper-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.deptDepartment of Business Administration-
crisitem.author.deptDepartment of Business Administration-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.orcid0000-0002-5587-2848-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
Appears in Collections:Book Chapter / Κεφάλαιο Βιβλίου
CORE Recommender
Show simple item record

SCOPUSTM   
Citations

6
checked on Dec 17, 2024

Page view(s)

18
checked on Dec 22, 2024

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.