OAS Deep Q-Learning-Based Fast and Smooth Control Method for Traffic Signal Transition in Urban Arterial Tidal Lanes.

Dong L, Xie X, Lu J, Feng L, Zhang L

DOI: 10.3390/s24061845
Published: 2024 Mar 13
Container: Sensors (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/s24061845,
  title = {OAS Deep Q-Learning-Based Fast and Smooth Control Method for Traffic Signal Transition in Urban Arterial Tidal Lanes.},
  author = {Dong L and Xie X and Lu J and Feng L and Zhang L},
  year = {2024},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s24061845},
  url = {https://doi.org/10.3390/s24061845}
}

RIS

TY  - JOUR
TI  - OAS Deep Q-Learning-Based Fast and Smooth Control Method for Traffic Signal Transition in Urban Arterial Tidal Lanes.
AU  - Dong L
AU  - Xie X
AU  - Lu J
AU  - Feng L
AU  - Zhang L
PY  - 2024
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s24061845
UR  - https://doi.org/10.3390/s24061845
ER  -

APA

L, D., X, X., J, L., L, F., & L, Z. (2024). OAS Deep Q-Learning-Based Fast and Smooth Control Method for Traffic Signal Transition in Urban Arterial Tidal Lanes.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s24061845

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pubmed · retrieved 2026-09-26T05:56:38.459Z