Integrated Algorithms for Cost-Optimal Public Transport Planning

by Alexander Schiewe
Cumulative thesis
Date of Examination:2019-02-28
Date of issue:2019-03-29
Advisor:Prof. Dr. Anita Schöbel
Referee:Prof. Dr. Anita Schöbel
Referee:Prof. Dr. Matthias Müller-Hannemann
Persistent Address: http://dx.doi.org/10.53846/goediss-7370

 

 

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Abstract

English

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.
Keywords: Mathematical Public Transport Planning; Cost-Optimal Planning; Public Transport Planning; Line Planning; Timetabling; Vehicle Scheduling
 
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