Trip destination prediction based on past GPS log using a Hidden Markov Model

Álvarez García, Juan Antonio; Ortega Ramírez, Juan Antonio; González Abril, Luis; Velasco Morente, Francisco

doi:10.1016/j.eswa.2010.05.070

Artículo

dc.creator	Álvarez García, Juan Antonio	es
dc.creator	Ortega Ramírez, Juan Antonio	es
dc.creator	González Abril, Luis	es
dc.creator	Velasco Morente, Francisco	es
dc.date.accessioned	2017-04-03T10:41:43Z
dc.date.available	2017-04-03T10:41:43Z
dc.date.issued	2010
dc.identifier.citation	Álvarez García, J.A., Ortega Ramírez, J.A., González Abril, L. y Velasco Morente, F. (2010). Trip destination prediction based on past GPS log using a Hidden Markov Model. Expert Systems with Applications, 37 (12), 8166-8171.
dc.identifier.issn	0957-4174	es
dc.identifier.uri	http://hdl.handle.net/11441/56926
dc.description.abstract	In this paper, a system based on the generation of a Hidden Markov Model from the past GPS log and cur- rent location is presented to predict a user’s destination when beginning a new trip. This approach dras- tically reduces the number of points supplied by the GPS device and it permits a ‘‘support-map” to be generated in which the main characteristics of the trips for each user are taken into account. Hence, in contrast with other similar approaches, total independence from a street-map database is achieved	es
dc.description.sponsorship	Ministerio de Educación y Ciencia TSI2006–13390-C02–02	es
dc.description.sponsorship	Junta de Andalucia TIC2141	es
dc.format	application/pdf	es
dc.language.iso	eng	es
dc.publisher	Elsevier	es
dc.relation.ispartof	Expert Systems with Applications, 37 (12), 8166-8171.
dc.rights	Attribution-NonCommercial-NoDerivatives 4.0 Internacional	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/	*
dc.subject	Knowledge discovery	es
dc.subject	Machine learning	es
dc.subject	Predictive HMM	es
dc.subject	Information retrieval	es
dc.title	Trip destination prediction based on past GPS log using a Hidden Markov Model	es
dc.type	info:eu-repo/semantics/article	es
dcterms.identifier	https://ror.org/03yxnpp24
dc.type.version	info:eu-repo/semantics/acceptedVersion	es
dc.rights.accessRights	info:eu-repo/semantics/openAccess	es
dc.contributor.affiliation	Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos	es
dc.contributor.affiliation	Universidad de Sevilla. Departamento de Economía Aplicada I	es
dc.relation.projectID	TSI2006–13390-C02–02	es
dc.relation.projectID	TIC2141	es
dc.relation.publisherversion	http://dx.doi.org/10.1016/j.eswa.2010.05.070	es
dc.identifier.doi	10.1016/j.eswa.2010.05.070	es
idus.format.extent	6	es
dc.journaltitle	Expert Systems with Applications	es
dc.publication.volumen	37	es
dc.publication.issue	12	es
dc.publication.initialPage	8166	es
dc.publication.endPage	8171	es
dc.contributor.funder	Ministerio de Educación y Ciencia (MEC). España
dc.contributor.funder	Junta de Andalucía

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