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dc.contributor.authorBerbey Álvarez, Aranzazu
dc.contributor.authorGalán, Ramón
dc.contributor.authorSanz Bobi, Juan de Dios
dc.contributor.authorCaballero, Rony
dc.date.accessioned2017-08-01T16:38:01Z
dc.date.accessioned2017-08-01T16:38:01Z
dc.date.available2017-08-01T16:38:01Z
dc.date.available2017-08-01T16:38:01Z
dc.date.issued2012-07-04
dc.date.issued2012-07-04
dc.identifier.urihttp://ridda2.utp.ac.pa/handle/123456789/2400
dc.identifier.urihttp://ridda2.utp.ac.pa/handle/123456789/2400
dc.descriptionThe passengers’ flow and station dwell time estimation are important tasks for mass transit planning. However, classical methods are difficult to apply into some practical achievements. This paper presents a new approach that models passengers’ flow and its effect on passenger alighting and boarding time in mass transportation systems in the presence of uncertainties. The applied technique combines origin destination matrices approach with the application of artificial intelligence. This new approach allows the inclusion of some intuitive knowledge provided by a fuzzy logic inference motor to predict the flow demand of passengers’ trips, alighting and boarding time passenger cars in explicit stations.en_US
dc.description.abstractThe passengers’ flow and station dwell time estimation are important tasks for mass transit planning. However, classical methods are difficult to apply into some practical achievements. This paper presents a new approach that models passengers’ flow and its effect on passenger alighting and boarding time in mass transportation systems in the presence of uncertainties. The applied technique combines origin destination matrices approach with the application of artificial intelligence. This new approach allows the inclusion of some intuitive knowledge provided by a fuzzy logic inference motor to predict the flow demand of passengers’ trips, alighting and boarding time passenger cars in explicit stations.en_US
dc.languageeng
dc.language.isoengen_US
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/4.0/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectpassengers’ flow modellingen_US
dc.subjectfuzzy logic inferenceen_US
dc.subjectartificial intelligenceen_US
dc.subjectuncertaintiesen_US
dc.subjectpassengers’ flow modelling
dc.subjectfuzzy logic inference
dc.subjectartificial intelligence
dc.subjectuncertainties
dc.titleA Fuzzy Logic Approach To Modelling The Passengers’ Flow And Dwelling Timeen_US
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion


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