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dc.contributor.authorBerbey Álvarez, Aranzazu
dc.contributor.authorCaballero, Rony
dc.contributor.authorSanz Bobi, Juan de Dios
dc.contributor.authorGalán, Ramón
dc.date.accessioned2017-08-01T20:43:05Z
dc.date.available2017-08-01T20:43:05Z
dc.date.issued2016-07-02
dc.identifier.urihttp://ridda2.utp.ac.pa/handle/123456789/2409
dc.descriptionThis paper presents a new approach that designs the flow of passengers in mass transportation systems in presence of uncertainties. One of the techniques used for the prediction of passenger demand is the origin- destination matrices. However, this method is limited to urban areas and rarely to explicit stations. Otherwise, the gravity models based on friction functions can be another alternative; however, it is difficult to fit into practical achievements. Another solution might be the application of artificial intelligence techniques so as to include some intuitive knowledge provided by an expert to predict the flow demand of passengers’ trips in explicit stations. This paper proposes to combine a matrix of origin-destination trips of travel zones, with the intuitive knowledge, applying a fuzzy logic inference approach.en_US
dc.description.abstractThis paper presents a new approach that designs the flow of passengers in mass transportation systems in presence of uncertainties. One of the techniques used for the prediction of passenger demand is the origin- destination matrices. However, this method is limited to urban areas and rarely to explicit stations. Otherwise, the gravity models based on friction functions can be another alternative; however, it is difficult to fit into practical achievements. Another solution might be the application of artificial intelligence techniques so as to include some intuitive knowledge provided by an expert to predict the flow demand of passengers’ trips in explicit stations. This paper proposes to combine a matrix of origin-destination trips of travel zones, with the intuitive knowledge, applying a fuzzy logic inference approach.en_US
dc.language.isoengen_US
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/4.0/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectFuzzy logic inferenceen_US
dc.subjectpassenger flow modellingen_US
dc.subjectmaximum entropy theoryen_US
dc.subjectmatrix method of area trips O- Den_US
dc.titleA Fuzzy Logic Inference Approach for the Estimation of the Passengers Flow Demanden_US
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion


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