Smart mobility: a mobile approach

dc.contributor.authorFaria, R.
dc.contributor.authorBrito, L.
dc.contributor.authorBaras, K.
dc.contributor.authorSilva, J.
dc.date.accessioned2019-03-18T15:11:13Z
dc.date.available2019-03-18T15:11:13Z
dc.date.issued2019
dc.date.updated2019-03-18T15:06:36Z
dc.description.abstractThe Internet of Things (IoT) is one of the key ingredients for the realization of Smart Cities. IoT devices are essential components of the Smart Cities infrastructure, as they can provide information collected from the environment through sensors or allow other systems to reach out and act on the world through actuators. IoT data collection, however, is not limited to sensors and machines, but to data from social networks, and the web. Social networks have a huge impact on the amount of data being produced daily, becoming an increasingly central and important data source. The exploitation of these data sources, combined with the growing popularity of mobile devices, can lead to the development of better solutions to improve people’s quality of life. This paper discusses how to take advantage of the benefits of mobile devices and the vast range of information sources and services, such as traffic conditions, and narrow, closed or conditioned roads data. The proposed system uses a real-time collection, organization, and transmission of traffic and road conditions data to provide efficient and accurate information to drivers. With the purpose of supporting and improving traffic data collection and distribution, an Android application was developed to collect information about extraordinary events that take place in a city, providing warnings and alternative routes to drivers and helping them to improve their time management. The developed solution also exploits the existing gaps in other applications, implementing a more specific solution for the Madeira Island traffic condition problems.eng
dc.description.versioninfo:eu-repo/semantics/acceptedVersion
dc.event.date2018
dc.event.locationGuimarãeseng
dc.event.title2nd EAI International Conference on Intelligent Transport Systems, INTSYS 2018
dc.event.typeConferênciapt
dc.identifier.doi10.1007/978-3-030-14757-0_8
dc.identifier.isbn9783030147570
dc.identifier.issn1867-8211
dc.identifier.urihttp://hdl.handle.net/10071/17651
dc.journalLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
dc.language.isoeng
dc.pagination95 - 112
dc.peerreviewedyes
dc.publisherSpringer
dc.relationinfo:eu-repo/grantAgreement/FCT/5876/147329/PT
dc.relationUID/MULTI/0446/2013
dc.rightsopen access
dc.subjectInternet of Thingseng
dc.subjectMobile applicationseng
dc.subjectRoute planningeng
dc.subjectSensorseng
dc.subjectSmart citieseng
dc.subjectSmart mobilityeng
dc.subjectTraffic and road conditionseng
dc.subject.fosDomínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informaçãopor
dc.titleSmart mobility: a mobile approacheng
dc.typeconferenceObject
degois.publication.firstPage95
degois.publication.lastPage112
degois.publication.locationGuimarãeseng
degois.publication.titleSmart mobility: a mobile approacheng
dspace.entity.typePublicationen
iscte.alternateIdentifiers.scopus2-s2.0-85062502449
iscte.identifier.cienciahttps://ciencia.iscte-iul.pt/id/ci-pub-57389

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