Computing Optimal Network Tolls

dc.contributor.authorHarks, Tobias
dc.contributor.authorSchäfer, Guido
dc.contributor.authorSieg, Martin
dc.date.accessioned2021-12-17T10:07:38Z
dc.date.available2021-12-17T10:07:38Z
dc.date.issued2008-06-13
dc.description.abstractWe consider the problem of computing tolls in non-atomic network routing games such that a predetermined flow is realized as Nash flow. It is a well-known fact that marginal cost tolls give rise to a Nash flow that minimizes the total travel time. In this paper, we study the problem of computing such tolls such that an additional toll-dependent objective function is optimized. We consider a broad class of objective functions, including convex and min-max functions, and show that such tolls can be computed in polynomial time. We also consider the problem of computing tolls such that the number of tolled arcs is minimized. We prove that this problem is NP-hard and APX-hard, even for very restricted single-commodity networks, and give first approximation results. Finally, we empirically evaluate the performance of our approximation algorithm on a set of real-world test instances.en
dc.identifier.issn2197-8085
dc.identifier.urihttps://depositonce.tu-berlin.de/handle/11303/15626
dc.identifier.urihttp://dx.doi.org/10.14279/depositonce-14399
dc.language.isoenen
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subject.ddc510 Mathematiken
dc.subject.othernetwork gamesen
dc.subject.othernetwork tollsen
dc.titleComputing Optimal Network Tollsen
dc.typeResearch Paperen
dc.type.versionsubmittedVersionen
tub.accessrights.dnbfreeen
tub.affiliationFak. 2 Mathematik und Naturwissenschaften::Inst. Mathematikde
tub.affiliation.facultyFak. 2 Mathematik und Naturwissenschaftende
tub.affiliation.instituteInst. Mathematikde
tub.publisher.universityorinstitutionTechnische Universität Berlinen
tub.series.issuenumber2008, 36en
tub.series.namePreprint-Reihe des Instituts für Mathematik, Technische Universität Berlinen
tub.subject.msc200090B20 Traffic problemsen
tub.subject.msc200090C11 Mixed integer programmingen

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