APA (7th ed.) Citation

Zhou, D., & Gayah, V. V. (2023). Scalable multi-region perimeter metering control for urban networks: A multi-agent deep reinforcement learning approach. Transportation research. Part C, Emerging technologies, 148, 104033. https://doi.org/10.1016/j.trc.2023.104033

Chicago Style (17th ed.) Citation

Zhou, Dongqin, and Vikash V. Gayah. "Scalable Multi-region Perimeter Metering Control for Urban Networks: A Multi-agent Deep Reinforcement Learning Approach." Transportation Research. Part C, Emerging Technologies 148 (2023): 104033. https://doi.org/10.1016/j.trc.2023.104033.

MLA (9th ed.) Citation

Zhou, Dongqin, and Vikash V. Gayah. "Scalable Multi-region Perimeter Metering Control for Urban Networks: A Multi-agent Deep Reinforcement Learning Approach." Transportation Research. Part C, Emerging Technologies, vol. 148, 2023, p. 104033, https://doi.org/10.1016/j.trc.2023.104033.