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dc.contributor.authorDimitriou, Loukasen
dc.contributor.authorTsekeris, Theodoreen
dc.creatorDimitriou, Loukasen
dc.creatorTsekeris, Theodoreen
dc.date.accessioned2019-04-18T06:18:58Z
dc.date.available2019-04-18T06:18:58Z
dc.date.issued2008
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/45414
dc.description.abstractThis paper describes an evolutionary game-theoretic learning model for dynamic congestion pricing in urban road networks, taking into account route choice stochasticity and reliability considerations, and the heterogeneity of users, in terms of their value of travel time and real-time information acquisition. The learning model represents the dynamic adjustments of users to travel cost changes which may take place in the day-to-day as well as the within-day timescales. The implementation into a simplified and a real urban road network signifies the important implications of modeling the dynamic and stochastic learning components of users’ behavior for accommodating the efficient deployment of congestion pricing schemes.en
dc.sourceNETNOMICS: Economic Research and Electronic Networkingen
dc.source.urihttps://doi.org/10.1007/s11066-008-9027-9
dc.titleEvolutionary game-theoretic model for dynamic congestion pricing in multi-class traffic networksen
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doi10.1007/s11066-008-9027-9
dc.description.volume10
dc.description.issue1
dc.author.facultyΠολυτεχνική Σχολή / Faculty of Engineering
dc.author.departmentΤμήμα Πολιτικών Μηχανικών και Μηχανικών Περιβάλλοντος / Department of Civil and Environmental Engineering
dc.type.uhtypeArticleen
dc.contributor.orcidDimitriou, Loukas [0000-0002-8427-058X]
dc.gnosis.orcid0000-0002-8427-058X


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