Publications

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Journal Publications

• Zhou, D., & Gayah, V.V. (2024) Evaluating the Effectiveness and Transferability of a Data-Driven Two-Region Perimeter Control Method Using Microsimulation. Transportation Research Record: Journal of the Transportation Research Board
• 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
• Zhou, D. and Gayah, V.V. (2023) Improving deep reinforcement learning-based perimeter metering control methods with domain control knowledge. Transportation Research Record: Journal of the Transportation Research Board
• Zhou, D., Gayah, V.V. and Wood, J.S. (2022) Integration of machine learning and statistical models for crash frequency modeling. Transportation Letters
• Zhou, D. and Gayah, V. V. (2021) Model-free perimeter metering control for two-region urban networks using deep reinforcement learning. Transportation Research Part C: Emerging Technologies

Refereed Conference Proceedings

• Zhou, D., Gayah, V.V. (2024) Evaluating the Effectiveness and Transferability of a Data-Driven Two-Region Perimeter Control Method Using Microsimulation. 103rd Annual Meeting of the Transportation Research Board, January, Washington, D.C. [abstract available in conference proceedings]
• Zhou, D., Gayah, V.V. (2023) A scalable model-free deep reinforcement learning-based perimeter metering control method for multi-region urban networks. 102nd Annual Meeting of the Transportation Research Board, January, Washington, D.C. [abstract available in conference proceedings]
• Lyu, L., Zhou, D., Liu, H., Gayah, V.V., Guler, S.I. (2023) Adaptive Action Selection Strategy Of Reinforcement Learning Approach For Intelligent Traffic Light Control. 102nd Annual Meeting of the Transportation Research Board, January, Washington, D.C. [abstract available in conference proceedings]
• Zhou, D., Gayah, V.V. (2022) Integration of human guidance into a reinforcement learning-based perimeter metering control method for urban traffic networks. 101st Annual Meeting of the Transportation Research Board, January, Washington, D.C. [abstract available in conference proceedings]
• Zhou, D., Gayah, V.V. (2021) Model free perimeter metering control for urban networks using deep reinforcement learning. 100th Annual Meeting of the Transportation Research Board, January, Washington, D.C. [abstract available in conference proceedings]
• Zhou, D., Cheng, Q., An, Q., Lu, B. and Liu, Z. (2018) Link criticality analysis based on reliable shortest path in a network with correlated link travel times. 18th COTA International Conference of Transportation Professionals, 5-8 July, Beijing, China. [abstract available in conference proceedings]
• Li, Z., Lam, W.H.K., Wepulanon, P. and Zhou, D. (2017) Estimating pedestrian walking time on campus based on Wi-Fi detection data. Transport and Society - Proceeding of the 22nd International Conference of Hong Kong Society for Transportation Studies, HKSTS 2017 (pp. 233-240), 9-12 De- cember, Hong Kong, China. [abstract available in conference proceedings]