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Optimisation models for expanding a railway's theoretical capacity

•Analytical models were introduced for railway capacity expansion planning.•Track duplications and track sub divisions were used to expand the network and its capacity.•Profiles of train speed and sectional running time were incorporated.•The expansion models were successfully applied to a case stud...

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Bibliographic Details
Published in:European journal of operational research 2016-06, Vol.251 (3), p.783-797
Main Author: Burdett, RL
Format: Article
Language:English
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Summary:•Analytical models were introduced for railway capacity expansion planning.•Track duplications and track sub divisions were used to expand the network and its capacity.•Profiles of train speed and sectional running time were incorporated.•The expansion models were successfully applied to a case study and their worth is demonstrated. Changing the topology of a railway network can greatly affect its capacity. Railway networks however can be altered in a multitude of different ways. As each way has significant immediate and long term financial ramifications, it is a difficult task to decide how and where to expand the network. In response some railway capacity expansion models (RCEM) have been developed to help capacity planning activities, and to remove physical bottlenecks in the current railway system. The exact purpose of these models is to decide given a fixed budget, where track duplications and track sub divisions should be made, in order to increase theoretical capacity most. These models are high level and strategic, and this is why increases to the theoretical capacity is concentrated upon. The optimisation models have been applied to a case study to demonstrate their application and their worth. The case study evidently shows how automated approaches of this nature could be a formidable alternative to current manual planning techniques and simulation. If the exact effect of track duplications and sub-divisions can be sufficiently approximated, this approach will be very applicable.
ISSN:0377-2217
1872-6860
DOI:10.1016/j.ejor.2015.12.033