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Optimising driving strategies for long heavy haul trains

conference contribution
posted on 06.12.2017, 00:00 by Mitchell Mcclanachan, Colin Cole
Rail operators worldwide are increasing the length and weight of Heavy Haul trains to increase network capacity and reduce operating costs. But with these changes to the train weight and length there is a need to reconsider the driving strategy. It is essential that these new trains are driven safely, quickly and efficiently. Determining this point is difficult as there are many possible driving strategies to consider. Currently new driving strategies are determined by using computer simulation, computer tools, expert drivers and experimental field tests. While these current methods provide good driving strategies they might not determine the optimal driving strategy. The aim of this research is to create a computational method that can produce an optimal driving strategy for a given train, track and operational requirements. The computational method being developed has the advantage as it can create and test many different driving strategies and use the results to incrementally create better strategies. The nature of the computational method also means that different train configurations or track modifications can be tested relatively easily. Initial results have shown that a method using genetic algorithms can determine optimal driving strategies based on energy. The research is continuing to incorporate longitudinal dynamics into the optimisation method.

Funding

Category 2 - Other Public Sector Grants Category

History

Start Page

830

End Page

837

Number of Pages

8

Start Date

01/01/2013

Finish Date

01/01/2013

ISBN-13

9788192651903

Location

New Delhi, India

Publisher

Indian Railways

Place of Publication

Archana; New Delhi; India

Peer Reviewed

Yes

Open Access

No

External Author Affiliations

Centre for Railway Engineering; Conference; Institute for Resource Industries and Sustainability (IRIS);

Era Eligible

Yes

Name of Conference

International Heavy Haul Association. Conference

Exports