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dc.contributor.authorCodina Sancho, Esteve
dc.contributor.authorRosell Camps, Francisca
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa
dc.date.accessioned2019-01-22T09:54:17Z
dc.date.issued2018
dc.identifier.citationCodina, E., Rosell, F. A stochastic version of the strategy-based congested transit assignment model and a technique by smoothing approximations. "Advances in Intelligent Systems and Computing", 2018, vol. 572, p. 272-289.
dc.identifier.issn2194-5357
dc.identifier.urihttp://hdl.handle.net/2117/127300
dc.description.abstractThis paper develops a stochastic version for the strategybased congested transit assignment problem stated by Cominetti and Correa (Trans. Sci. 35(3):250-267, 2001). As a distinctive approach, this stochastic version takes into account stochastic mean waiting times of passengers at stops and in-vehicle travel times. The model is formulated as a stochastic variational inequality derived from the formulation of the deterministic version of the problem, also stated as a variational inequality problem, for which only a single solution method is known uptodate. Closely related with the stochastic model, and as a special case of it, a consistent smoothing approximation to the deterministic model is developed and it is shown that this approximation provides an alternative way of solving the deterministic model. It is also shown that both, the stochastic model and the smoothed approximation, can be solved by means of an adaptation of a path based method for the asymmetric traffic assignment problem. Computational tests have been carried out on several medium-large scale networks showing the viability of the method and its applicability to large scale transit models.
dc.format.extent18 p.
dc.language.isoeng
dc.publisherSpringer
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Investigació operativa
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Matemàtica aplicada a les ciències
dc.subject.lcshOperations research
dc.subject.lcshSequences (Mathematics)
dc.subject.otherCongested transit assignment
dc.subject.otherSmoothing approximation
dc.subject.otherStochastic variational inequalities
dc.subject.otherStrategy-based transit equilibrium
dc.titleA stochastic version of the strategy-based congested transit assignment model and a technique by smoothing approximations
dc.typeArticle
dc.subject.lemacInvestigació operativa
dc.subject.lemacSeqüències (Matemàtica)
dc.contributor.groupUniversitat Politècnica de Catalunya. IMP - Information Modeling and Processing
dc.identifier.doi10.1007/978-3-319-57105-8_13
dc.description.peerreviewedPeer Reviewed
dc.subject.amsClassificació AMS::90 Operations research, mathematical programming::90C Mathematical programming
dc.subject.amsClassificació AMS::62 Statistics::62L Sequential methods
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007/978-3-319-57105-8_13
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac21207494
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/MINECO//TRA2014-52530-C3-3-P/ES/ROBUSTEZ, RECUPERACION Y ADAPTABILIDAD DE SISTEMAS DE TRANSPORTE PUBLICO/
dc.relation.projectidinfo:eu-repo/grantAgreement/MICINN//TRA2008-06782-C02-02/ES/APLICACIONES DEL DISEÑO DE REDES DE TRANSPORTE/
dc.date.lift10000-01-01
local.citation.authorCodina, E.; Rosell, F.
local.citation.publicationNameAdvances in Intelligent Systems and Computing
local.citation.volume572
local.citation.startingPage272
local.citation.endingPage289


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