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Train planning in a fragmented railway: a British perspective

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posted on 2009-04-15, 11:32 authored by Robert Watson
Train Planning (also known as railway scheduling) is an area of substantial importance to the success of any railway. Through train planning, railway managers aim to meet the needs of customers whilst using as low a level of resources (infrastructure, rolling stock and staff) as possible. Efficient and effective train planning is essential to get the best possible performance out of a railway network. The author of this thesis aims, firstly, to analyse the processes which are used to develop train plans and the extent to which they meet the objectives that they might be expected to meet and, secondly, to investigate selected new and innovative software approaches that might make a material difference to the effectiveness and/or efficiency of train planning processes. These aims are delivered using a range of primarily qualitative research methods, including literature reviews, interviews, participant observation and case studies, to understand these processes and software. Conclusions regarding train planning processes include how the complexity of these processes hinders their effectiveness, the negative impact of the privatisation of British Rail on these processes and the conflicting nature of objectives for train planning in the privatised railway. Train planning software is found not to adequately support train planners in meeting the objectives they are set. The potential for timetable generation using heuristics and for timetable performance simulation to improve the effectiveness of train planning are discussed and recommendations made for further research and development to address the limitations of the software currently available.

History

School

  • Architecture, Building and Civil Engineering

Publisher

© Robert Watson

Publication date

2008

Notes

A Doctoral Thesis submitted in partial fulfilment of the requirements of Loughborough University for the Degree of Doctor of Philosophy.

EThOS Persistent ID

uk.bl.ethos.515584

Language

  • en

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    Architecture, Building and Civil Engineering Theses

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