Railway infrastructure maintenance efficiency improvement using deep reinforcement learning integrated with digital twin based on track geometry and component defects.
- DOI
- 10.1038/s41598-023-29526-8
- Published
- 2023 Feb 10
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-023-29526-8,
title = {Railway infrastructure maintenance efficiency improvement using deep reinforcement learning integrated with digital twin based on track geometry and component defects.},
author = {Sresakoolchai J and Kaewunruen S},
year = {2023},
journal = {Scientific reports},
doi = {10.1038/s41598-023-29526-8},
url = {https://doi.org/10.1038/s41598-023-29526-8}
}RIS
TY - JOUR TI - Railway infrastructure maintenance efficiency improvement using deep reinforcement learning integrated with digital twin based on track geometry and component defects. AU - Sresakoolchai J AU - Kaewunruen S PY - 2023 JO - Scientific reports DO - 10.1038/s41598-023-29526-8 UR - https://doi.org/10.1038/s41598-023-29526-8 ER -
APA
J, S., & S, K. (2023). Railway infrastructure maintenance efficiency improvement using deep reinforcement learning integrated with digital twin based on track geometry and component defects.. Scientific reports. https://doi.org/10.1038/s41598-023-29526-8
Source records
- pubmed · retrieved 2026-09-26T10:16:35.851Z