Enhanced intelligent train operation algorithms for metro train based on expert system and deep reinforcement learning

Yunhu Huang, Wenzhu Lai, Dewang Chen, Geng Lin, Jiateng Yin

Open source

DOI: 10.1371/journal.pone.0323478
Published: 2025-05-21
Container: PLOS One
Publisher: Public Library of Science (PLoS)
Open access: unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

supportingDOI registered: A matching record was returned by Crossref. Source: Crossref; license: CC0 metadata
supportingDOI resolves: A matching record was returned by Crossref. Source: Crossref; license: CC0 metadata
not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility. Source: DOAJ; license: CC0
not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredOpen access status: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
supportingMetadata completeness: All 6 scored descriptive metadata groups are present. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0323478,
  title = {Enhanced intelligent train operation algorithms for metro train based on expert system and deep reinforcement learning},
  author = {Yunhu Huang and Wenzhu Lai and Dewang Chen and Geng Lin and Jiateng Yin},
  year = {2025},
  journal = {PLOS One},
  doi = {10.1371/journal.pone.0323478},
  url = {https://doi.org/10.1371/journal.pone.0323478}
}

RIS

TY  - JOUR
TI  - Enhanced intelligent train operation algorithms for metro train based on expert system and deep reinforcement learning
AU  - Yunhu Huang
AU  - Wenzhu Lai
AU  - Dewang Chen
AU  - Geng Lin
AU  - Jiateng Yin
PY  - 2025
JO  - PLOS One
DO  - 10.1371/journal.pone.0323478
UR  - https://doi.org/10.1371/journal.pone.0323478
ER  -

APA

Huang, Y., Lai, W., Chen, D., Lin, G., & Yin, J. (2025). Enhanced intelligent train operation algorithms for metro train based on expert system and deep reinforcement learning. PLOS One. https://doi.org/10.1371/journal.pone.0323478

Source records

crossref · retrieved 2026-09-25T13:06:49.254Z