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Abstract
Real-time recovery is receiving a fast growing interest in an increasingly competitive
railway operation market. This thesis considers the area of rolling stock
dispatching which is one of the typical real-time railway dispatching problems.
All work of the thesis is based on the network and planning processes of the
railway operator DSB S-tog a/s.
In the thesis the problems existing in the railway planning process from the
strategic to real-time level are briefly sketched. Network planning, line planning,
timetabling, crew and rolling stock planning is outlined and relevant references
are given. Specifically the thesis references the operation research studies based
on the railway operation of DSB S-tog a/s. Subsequently the process of dispatching
is outlined with a specific emphasis on rolling stock.
The rolling stock recovery problem is the problem of assigning train units to
train departures in a disrupted rolling stock schedule so that operation returns
quickly to the originally planned schedule. Different network structures and
mathematical formulations for the problem are discussed. Based on prior work
on network structures a decomposed approach for the rolling stock recovery
problem is put forward.
The main contributions of the thesis are contained in four papers included as
appendices. The papers deal with respectively an analysis of robustness in
timetables, the mathematical model behind a decision support tool for reinsertion
of a train line, a survey on the dispatching problems of passenger railway
transportation and the decomposed solution process of the rolling stock recovery
problem.
The paper on the robustness analysis has been accepted for submission in the
International Journal of Operations Research. Two of the papers have been
submitted to journals and are being reviewed. The last paper will be submitted.
Furthermore, the work of the two papers on the robustness analysis respectively
the reinsertion model have formed the basis of practical projects in DSB S-tog.
The applicability of the decomposed process will be further investigated in the
future.
Original language | English |
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Place of Publication | Kgs. Lyngby, Denmark |
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Publisher | Technical University of Denmark |
Publication status | Published - Apr 2009 |
Series | DTU Compute PHD |
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ISSN | 0909-3192 |
Bibliographical note
IMM-PHD-2008-212Fingerprint
Dive into the research topics of 'Decision Support for the Rolling Stock Dispatcher'. Together they form a unique fingerprint.Projects
- 1 Finished
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Beslutningsstøtte til genopretning ved uregelmæssigheder i togdrift
Groth, J. J., Larsen, J., Clausen, J., Stidsen, T. J. R., Abbink, E. J. W. & Liebchen, C.
01/10/2005 → 22/04/2009
Project: PhD