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dc.contributor.authorBerbey-Alvarez, Aranzazu
dc.contributor.authorCaballero, Rony
dc.contributor.authorSanchez Urrutia, Victor
dc.contributor.authorCalvo, Francisco
dc.date.accessioned2021-11-30T15:51:21Z
dc.date.available2021-11-30T15:51:21Z
dc.date.issued2014-07
dc.identifier.urihttps://ridda2.utp.ac.pa/handle/123456789/13448
dc.descriptionThe passengers´ traffic and station dwelling time estimation are significant parameters for mass transit planning. Nevertheless, classical methodologies are not easy to apply in certain practical situations. This work presents a new approach that combines the origin destination matrices method with the application of fuzzy logic using as a case study the Panama´s metro line 1. In particular, this paper presents an extension and practical application of the previous papers, using three fundamental levels of passenger´s flow in the membership function for a train’s coach and finally the application of the proposed algorithm in order to predict more realistic effects.en_US
dc.description.abstractThe passengers´ traffic and station dwelling time estimation are significant parameters for mass transit planning. Nevertheless, classical methodologies are not easy to apply in certain practical situations. This work presents a new approach that combines the origin destination matrices method with the application of fuzzy logic using as a case study the Panama´s metro line 1. In particular, this paper presents an extension and practical application of the previous papers, using three fundamental levels of passenger´s flow in the membership function for a train’s coach and finally the application of the proposed algorithm in order to predict more realistic effects.en_US
dc.formatapplication/pdfen_US
dc.language.isoen_USen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/4.0en_US
dc.subjectPanama Metroen_US
dc.subjectPanama Metro line 1en_US
dc.subjectfuzzy logicen_US
dc.subjectpassenger´s flowen_US
dc.subjectorigin-destination matrixen_US
dc.subjectartificial intelligence Techniquesen_US
dc.subjectfuzzy and hybrid techniquesen_US
dc.subjectdwelling timeen_US
dc.subjectstopping timeen_US
dc.subjectmembership function levelsen_US
dc.subjecttrain´s coachen_US
dc.titlePassenger´s flow for a Train’s Coach and Dwelling Time Using Fuzzy Logicen_US
dc.title.alternativeCase Study: Panama Metro Line 1en_US
dc.typeinfo:eu-repo/semantics/articleen_US
dc.typeinfo:eu-repo/semantics/publishedVersionen_US


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