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Genetic computation of road network design and pricing stackelberg games with multi-class users

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dc.contributor.author Dimitriou, L en
dc.contributor.author Tsekeris, T en
dc.contributor.author Stathopoulos, A en
dc.date.accessioned 2014-03-01T02:45:17Z
dc.date.available 2014-03-01T02:45:17Z
dc.date.issued 2008 en
dc.identifier.issn 03029743 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/32260
dc.subject Equilibrium network design en
dc.subject Genetic algorithms en
dc.subject Regulated private highways en
dc.subject Road pricing en
dc.subject Stackelberg games en
dc.subject.other Computation theory en
dc.subject.other Computer graphics en
dc.subject.other Economics en
dc.subject.other Highway engineering en
dc.subject.other Highway systems en
dc.subject.other Laws and legislation en
dc.subject.other Motor transportation en
dc.subject.other Nonlinear programming en
dc.subject.other Roads and streets en
dc.subject.other Stochastic programming en
dc.subject.other Discrete variables en
dc.subject.other European en
dc.subject.other Evolutionary computation (EC) en
dc.subject.other Evolutionary computing en
dc.subject.other Global search en
dc.subject.other Government regulations en
dc.subject.other Heidelberg (CO) en
dc.subject.other Highway capacity en
dc.subject.other Nonconvex en
dc.subject.other Nonlinear programs en
dc.subject.other Optimal capacity en
dc.subject.other Pricing decisions en
dc.subject.other Pricing strategies en
dc.subject.other Road networks en
dc.subject.other Solution procedures en
dc.subject.other Stackelberg games en
dc.subject.other Game theory en
dc.title Genetic computation of road network design and pricing stackelberg games with multi-class users en
heal.type conferenceItem en
heal.identifier.primary 10.1007/978-3-540-78761-7_73 en
heal.identifier.secondary http://dx.doi.org/10.1007/978-3-540-78761-7_73 en
heal.publicationDate 2008 en
heal.abstract This paper deals with the problems of optimal capacity and pricing decisions in private road networks. These problems are described as a class of design and pricing Stackelberg games and formulated as nonconvex, bilevel nonlinear programs. Such games capture interactions among the decisions of system designer/operator, government regulations and reactions of multi-class users on optimal toll-capacity combinations. The present class of games applies to a realistic urban highway with untolled alternative arterial links. In contrast with the mostly used continuous representations, the highway capacity is more intuitively expressed as a discrete variable, which further complicates the solution procedure. Hence, an evolutionary computing approach is employed to provide a stochastic global search of the optimal toll and capacity choices. The results offer valuable insights into how investment and pricing strategies can be deployed in regulated private road networks. © 2008 Springer-Verlag Berlin Heidelberg. en
heal.journalName Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) en
dc.identifier.doi 10.1007/978-3-540-78761-7_73 en
dc.identifier.volume 4974 LNCS en
dc.identifier.spage 669 en
dc.identifier.epage 678 en


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