Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/55382
DC FieldValueLanguage
dc.contributor.authorDel Ser, Javieren_US
dc.contributor.authorOsaba, Enekoen_US
dc.contributor.authorSanchez-Medina, Javier J.en_US
dc.contributor.authorFister, Iztoken_US
dc.date.accessioned2019-05-15T11:12:57Z-
dc.date.available2019-05-15T11:12:57Z-
dc.date.issued2019en_US
dc.identifier.issn1524-9050en_US
dc.identifier.urihttp://hdl.handle.net/10553/55382-
dc.description.abstractThis paper capitalizes on the increasingly high relevance gained by data-intensive technologies in the development of intelligent transportation system, which calls for the progressive adoption of adaptive, self-learning methods for solving modeling, simulation, and optimization problems. In this regard, certain mechanisms and processes observed in nature, including the animal brain, have proved themselves to excel not only in terms of efficiently capturing time-evolving stimuli, but also at undertaking complex tasks by virtue of mechanisms that can be extrapolated to computer algorithms and methods. This paper comprehensively reviews the state-of-the-art around the application of bioinspired methods to the challenges arising in the broad field of intelligent transportation system (ITS). This systematic survey is complemented by an initiatory taxonomic introduction to bioinspired computational intelligence, along with the basics of its constituent techniques. A focus is placed on which research niches are still unexplored by the community in different ITS subareas. The open issues and research directions for the practical implementation of ITS endowed with bioinspired computational intelligence are also discussed in detail.en_US
dc.languageengen_US
dc.relation.ispartofIEEE Transactions on Intelligent Transportation Systemsen_US
dc.sourceIEEE Transactions on Intelligent Transportation Systems [ISSN 1524-9050]en_US
dc.subject120304 Inteligencia artificialen_US
dc.subject332907 Transporteen_US
dc.subject.otherBioinspired computational intelligenceen_US
dc.subject.otherRoute planningen_US
dc.subject.otherTraffic forecastingen_US
dc.subject.otherAutonomous and cooperative drivingen_US
dc.subject.otherDriver characterizationen_US
dc.subject.otherSmart mobilityen_US
dc.titleBioinspired computational intelligence and transportation systems: a long road aheaden_US
dc.typeinfo:eu-repo/semantics/articlees
dc.typeArticlees
dc.identifier.doi10.1109/TITS.2019.2897377en_US
dc.identifier.epage30-
dc.identifier.spage1-
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Artículoen_US
dc.utils.revisionen_US
item.fulltextSin texto completo-
item.grantfulltextnone-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.deptCentro de Innovación para la Sociedad de la Información-
crisitem.author.deptIU de Ciencias y Tecnologías Cibernéticas-
crisitem.author.orcid0000-0003-2530-3182-
crisitem.author.parentorgIU de Ciencias y Tecnologías Cibernéticas-
crisitem.author.fullNameSánchez Medina, Javier Jesús-
crisitem.author.departamentoInformática y Sistemas-
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