A Case Study in Periodic Timetabling

dc.contributor.authorLiebchen, Christian
dc.contributor.authorMöhring, Rolf H.
dc.date.accessioned2021-12-17T10:05:16Z
dc.date.available2021-12-17T10:05:16Z
dc.date.issued2002
dc.description.abstractIn the overwhelming majority of public transportation companies, designing a periodic timetable is even nowadays largely performed manually. Software tools only support the planners in evaluating a periodic timetable, or by letting them comfortably shift sets of trips by some minutes, but they rarely use optimization methods. One of the main arguments against optimization is that there is no clear objective in practice, but that many criteria such as amount of rolling stock required, average passenger changing time, average speed of the trains, and the number of cross-wise correspondences have to be considered.en
dc.identifier.issn2197-8085
dc.identifier.urihttps://depositonce.tu-berlin.de/handle/11303/15467
dc.identifier.urihttp://dx.doi.org/10.14279/depositonce-14240
dc.language.isoenen
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subject.ddc510 Mathematiken
dc.subject.othertraffic problemsen
dc.subject.othercombinatorial optimizationen
dc.subject.othercase-oriented studiesen
dc.titleA Case Study in Periodic Timetablingen
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.issuenumber2002, 736en
tub.series.namePreprint-Reihe des Instituts für Mathematik, Technische Universität Berlinen
tub.subject.msc200090B20 Traffic problemsen
tub.subject.msc200090C27 Combinatorial optimizationen
tub.subject.msc200090B90 Case-oriented studiesen
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