Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/118896
Campo DC Valoridioma
dc.contributor.authorMolina-Gil, Jezabelen_US
dc.contributor.authorCaballero-Gil, Pinoen_US
dc.contributor.authorQuesada-Arencibia, Alexisen_US
dc.contributor.authorDe Blasio, Gabriele Salvatoreen_US
dc.date.accessioned2022-10-17T17:55:33Z-
dc.date.available2022-10-17T17:55:33Z-
dc.date.issued2022en_US
dc.identifier.issn2083-8492en_US
dc.identifier.urihttp://hdl.handle.net/10553/118896-
dc.description.abstractPromoting the use of public transport is increasingly urgent in our society, both to reduce traffic congestion, air pollution and stress levels, and to ensure the high level of mobility demanded by citizens. The lack of continuous on-trip assistance for public transport users discourages many travellers. Thus, the main objective of this work is to design a personal digital travel companion for outdoor location and event detection based on Bluetooth Low Energy, which can be used for intelligent transport technology. After analysing the functional requirements, the proposal is implemented as a mobile application for beacon-based event detection. The system includes an algorithm aided by fuzzy logic to determine the action to be carried out by the user at all times, being able to distinguish between different possible events when more than one beacon is detected. To defend the scheme against possible attacks based on beacon forgery or user tracking, the proposal includes different forms of authentication for data sent from beacons and data sent from the mobile application. The results obtained in simulations show that the proposed system is a viable guidance solution for public transport, including energy saving as one of its main advantages.en_US
dc.languageengen_US
dc.relation.ispartofInternational Journal of Applied Mathematics and Computer Scienceen_US
dc.sourceInternational Journal of Applied Mathematics and Computer Science [ISSN 2083-8492], v. 32 (3), p. 371-387, (Septiembre 2022)en_US
dc.subject120304 Inteligencia artificialen_US
dc.subject3327 Tecnología de los sistemas de transporteen_US
dc.subject.otherPublic transporten_US
dc.subject.otherGuidanceen_US
dc.subject.otherLocation systemen_US
dc.subject.otherBluetooth low energyen_US
dc.subject.otherFuzzy logicen_US
dc.titleApplication of fuzzy logic in a secure beacon–based guidance system for public transportationen_US
dc.identifier.doi10.34768/amcs-2022-0027en_US
dc.description.lastpage387en_US
dc.identifier.issue3-
dc.description.firstpage371en_US
dc.relation.volume32en_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Artículoen_US
dc.description.numberofpages17en_US
dc.utils.revisionen_US
dc.date.coverdateSeptiembre 2022en_US
dc.identifier.ulpgcen_US
dc.contributor.buulpgcBU-INFen_US
dc.description.sjr0,507-
dc.description.jcr1,9-
dc.description.sjrqQ2-
dc.description.jcrqQ2-
dc.description.scieSCIE-
dc.description.miaricds11,0-
item.grantfulltextopen-
item.fulltextCon texto completo-
crisitem.author.deptGIR IUCES: Computación inteligente, percepción y big data-
crisitem.author.deptIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.deptGIR IUCES: Computación inteligente, percepción y big data-
crisitem.author.deptIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.orcid0000-0002-8313-5124-
crisitem.author.orcid0000-0002-6233-567X-
crisitem.author.parentorgIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.parentorgIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.fullNameQuesada Arencibia, Francisco Alexis-
crisitem.author.fullNameDe Blasio, Gabriele Salvatore-
Colección:Artículos
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