Collaborative optimization of energy-efficient train schedule and train circulation plan for urban rail

It is of great practical significance to save train traction energy for reducing the operation cost of urban rail transit. The energy-efficient train scheduling without combining with train circulation planning may inadvertently increase the other cost of rolling stocks, and finally lead to an incre...

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Bibliographic Details
Published in:	Energy (Oxford) Vol. 263; p. 125599
Main Authors:	Zhou, Wenliang, Huang, Yu, Deng, Lianbo, Qin, Jin
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.01.2023
Subjects:	algorithms China energy efficiency Energy-efficient train scheduling operating costs Particle swarm algorithm rail transportation Regenerative braking energy Train circulation planning Train tracking strategy Urban rail transit China Train circulation planning Urban rail transit Particle swarm algorithm Train tracking strategy Regenerative braking energy Energy-efficient train scheduling
ISSN:	0360-5442
Online Access:	Get full text
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