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Title: Improving railway operations through the integration of macroscopic and microscopic modelling with optimisation
Author: Umiliacchi, Silvia
ISNI:       0000 0004 5994 6490
Awarding Body: University of Birmingham
Current Institution: University of Birmingham
Date of Award: 2016
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Britain's railway industry is implementing the vision of the system in the next thirty years, as outlined in the Rail Technical Strategy (2012); the main objectives to achieve are: carbon and cost reduction, capacity increase and customer satisfaction. The timetable design process is identified as a key enabler of the strategy's implementation. The current method in use is considered as a lengthy process with little computer support and optimisation. This study tries to overcome the outlined weaknesses of the existing method by proposing a more automated process in which the optimisation of a timetable is a properly design stage. The method has been applied to minimise the total energy consumption of five trains on the Aberdeen-Inverness line, while meeting operational and safety constraints. The results showed a reduction in the total energy consumption of 7%, while the average train total journey time is increased by 1% in comparison with the initial schedule.
Supervisor: Not available Sponsor: Network Rail ; Engineering and Physical Sciences Research Council
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available
Keywords: TF Railroad engineering and operation ; TK Electrical engineering. Electronics Nuclear engineering