Integrated Algorithms for Cost-Optimal Public Transport Planning

Schiewe, Alexander

dc.contributor.advisor	Schöbel, Anita Prof. Dr.
dc.contributor.author	Schiewe, Alexander
dc.date.accessioned	2019-03-29T13:45:18Z
dc.date.available	2019-03-29T13:45:18Z
dc.date.issued	2019-03-29
dc.identifier.uri	http://hdl.handle.net/11858/00-1735-0000-002E-E5F2-C
dc.identifier.uri	http://dx.doi.org/10.53846/goediss-7370
dc.language.iso	eng	de
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject.ddc	510	de
dc.title	Integrated Algorithms for Cost-Optimal Public Transport Planning	de
dc.type	cumulativeThesis	de
dc.contributor.referee	Schöbel, Anita Prof. Dr.
dc.date.examination	2019-02-28
dc.description.abstracteng	Since the demand for passenger transport is ever increasing, public transport planning is a topic of ongoing research. While single problem stages like line planning, timetabling or vehicle scheduling are already extensively researched, integrated planning, i.e., planning not just one but multiple problem stages simultaneously, becomes more important, since integration allows to utilize additional optimization potential that is not realizable in sequential planning. This thesis focuses especially on cost-optimal planning, since a cost-efficient system allows for a more sustainable service for the operator and permits lower costs for the passengers, increasing the incentive for usage.	de
dc.contributor.coReferee	Müller-Hannemann, Matthias Prof. Dr.
dc.subject.eng	Mathematical Public Transport Planning	de
dc.subject.eng	Cost-Optimal Planning	de
dc.subject.eng	Public Transport Planning	de
dc.subject.eng	Line Planning	de
dc.subject.eng	Timetabling	de
dc.subject.eng	Vehicle Scheduling	de
dc.identifier.urn	urn:nbn:de:gbv:7-11858/00-1735-0000-002E-E5F2-C-0
dc.affiliation.institute	Fakultät für Mathematik und Informatik	de
dc.subject.gokfull	Mathematics (PPN61756535X)	de
dc.identifier.ppn	1666649821

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Fakultät für Mathematik und Informatik (inkl. GAUSS) [518]

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