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Optimal Control Algorithm for Subway Train Operation by Proximal Policy Optimization

Optimal Control Algorithm for Subway Train Operation by Proximal Policy Optimization

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a5ecc9e1c34143398e138ab66cf53442

Optimal Control Algorithm for Subway Train Operation by Proximal Policy Optimization

About this item

Full title

Optimal Control Algorithm for Subway Train Operation by Proximal Policy Optimization

Publisher

Basel: MDPI AG

Journal title

Applied sciences, 2023-07, Vol.13 (13), p.7456

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

With the increasing scale of the urban subway, the total energy consumption of the subway has increased dramatically and poses a great challenge to the comfort of passengers and the punctuality of train operation. In order to ensure on-time train operation and passenger comfort, and at the same time reduce the energy consumption of subway operation...

Alternative Titles

Full title

Optimal Control Algorithm for Subway Train Operation by Proximal Policy Optimization

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_a5ecc9e1c34143398e138ab66cf53442

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a5ecc9e1c34143398e138ab66cf53442

Other Identifiers

ISSN

2076-3417

E-ISSN

2076-3417

DOI

10.3390/app13137456

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