DC FieldValueLanguage
dc.contributor.authorAnagnostopoulos, Theodoros-
dc.contributor.authorFerreira, Denzil-
dc.contributor.authorSamodelkin, Alexander-
dc.contributor.authorAhmed, Muzamil-
dc.contributor.authorKostakos, Vassilis-
dc.date.accessioned2024-07-05T07:33:32Z-
dc.date.available2024-07-05T07:33:32Z-
dc.date.issued2016-09-01-
dc.identifierscopus-84958092906-
dc.identifier.issn1574-1192-
dc.identifier.other84958092906-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/2671-
dc.description.abstractCycling in smart cities can be safer if enhanced with a smart traffic lights infrastructure. A distributed smartphone-based sensing approach is a cost-effective infrastructure to enable cyclist-aware traffic lights system. In this article, we treat cyclist movement on a trajectory with a Boundary model able to reduce GPS sensor power consumption, while performing time-of-arrival estimation to the nearest light. A global quantitative metric of model efficiency is proposed for assessing the overall behavior of the model, and a false-positives rating qualitative metric is used to assess the recall of the model. We evaluated the model with confined yet realistic cycling experiments and verify the precision of our model using an Android application installed in participants’ smartphones. We compared our model with previous literature, achieving a promising model for in-the-wild cycling scenarios.en_US
dc.language.isoenen_US
dc.relation.ispartofPervasive and Mobile Computingen_US
dc.subjectDistributed modelen_US
dc.subjectPower consumptionen_US
dc.subjectSmartphone sensingen_US
dc.subjectTime-of-arrival estimationen_US
dc.titleCyclist-aware traffic lights through distributed smartphone sensingen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.pmcj.2016.01.012en_US
dc.identifier.scopus2-s2.0-84958092906-
dcterms.accessRights0en_US
dc.relation.deptDepartment of Business Administrationen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.relation.volume31en_US
dc.identifier.spage22en_US
dc.identifier.epage36en_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.journalsOpen Accessen_US
dc.publicationPeer Revieweden_US
dc.countryGreeceen_US
local.metadatastatusverifieden_US
item.cerifentitytypePublications-
item.languageiso639-1en-
item.openairetypeArticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextNo Fulltext-
item.grantfulltextnone-
crisitem.author.deptDepartment of Business Administration-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.orcid0000-0002-5587-2848-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
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