APA APA 7th

Zhou, P. M., & Morales-Vega, D. A. (2026). Transformer-Based Reinforcement Learning for Adaptive Traffic Signal Control in Smart City Environments to Reduce Congestion and Emissions. Journal of Ongoing Artificial Intelligence Innovations, 1(2), 66-72.

MLA MLA 9th

Zhou, Prof. Mei-Ling, and Dr. Alejandro Morales-Vega. "Transformer-Based Reinforcement Learning for Adaptive Traffic Signal Control in Smart City Environments to Reduce Congestion and Emissions." Journal of Ongoing Artificial Intelligence Innovations, vol. 1, no. 2, 2026, pp. 66-72.

CHI Chicago

Zhou, Prof. Mei-Ling, and Dr. Alejandro Morales-Vega. "Transformer-Based Reinforcement Learning for Adaptive Traffic Signal Control in Smart City Environments to Reduce Congestion and Emissions." Journal of Ongoing Artificial Intelligence Innovations 1, no. 2 (2026): 66-72.

HAR Harvard

Zhou, P. M. & Morales-Vega, D. A. (2026) 'Transformer-Based Reinforcement Learning for Adaptive Traffic Signal Control in Smart City Environments to Reduce Congestion and Emissions', Journal of Ongoing Artificial Intelligence Innovations, 1(2), pp. 66-72.

IEEE IEEE

P. M. Zhou, and D. A. Morales-Vega, "Transformer-Based Reinforcement Learning for Adaptive Traffic Signal Control in Smart City Environments to Reduce Congestion and Emissions," Journal of Ongoing Artificial Intelligence Innovations, vol. 1, no. 2, pp. 66-72, 2026.

VAN Vancouver

Zhou PM, Morales-Vega DA. Transformer-Based Reinforcement Learning for Adaptive Traffic Signal Control in Smart City Environments to Reduce Congestion and Emissions. Journal of Ongoing Artificial Intelligence Innovations. 2026;1(2):66-72.

BIB BibTeX

@article{prof2026,
  title     = {Transformer-Based Reinforcement Learning for Adaptive Traffic Signal Control in Smart City Environments to Reduce Congestion and Emissions},
  author    = {Prof. Mei-Ling Zhou and Dr. Alejandro Morales-Vega},
  journal   = {Journal of Ongoing Artificial Intelligence Innovations},
  volume    = {1},
  number    = {2},
  pages     = {66-72},
  year      = {2026},
}

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