Wenqi

LU

陸文琦

PhD in Transportation Engineering, Southeast University

Selected Publications

Lu, W., Yi, Z., Liang, B., Rui, Y., & Ran, B. (2024). Improving Traffic Operation of Bottleneck in a Connected and Automated Vehicles Environment: An Integrated Lane-Level Control Method. IEEE Transactions on Intelligent Transportation Systems.

Lu, W., Yi, Z., Gu, Y., Rui, Y., & Ran, B. (2023). TD3LVSL: a lane-level variable speed limit approach based on twin delayed deep deterministic policy gradient in a connected automated vehicle environment. Transportation Research Part C: Emerging Technologies, 153, 104221.

Lu, W., Rui, Y., & Ran, B. (2022). Lane-level traffic speed forecasting: a novel mixed deep learning model. IEEE Transactions on Intelligent Transportation Systems, 23(4), 3601-3612.

Lu, W., Yi, Z., Wu, R., Rui, Y., & Ran, B.* (2022). Traffic speed forecasting for urban roads: a deep ensemble neural network model. Physica A: Statistical Mechanics and its Applications, 593, 126988.

Lu, W., Zhou, T., Li, L., Gu, Y., Rui, Y., & Ran, B. (2022). An improved tucker decomposition-based imputation method for recovering lane-level missing values in traffic data. IET Intelligent Transport Systems, 16(3), 363-379.

Lu, W., Yi, Z., Liu, W., Gu, Y., Rui, Y.*, & Ran, B. (2021). Efficient deep learning based method for multi-lane speed forecasting: a case study in Beijing. IET Intelligent Transport Systems, 14(14), 2073-2082.

Gu, Y., Lu, W., Xu, X., Qin, L., Shao, Z., & Zhang, H. (2020). An improved bayesian combination model for short-term traffic prediction with deep learning. IEEE Transactions on Intelligent Transportation Systems, 21(3), 1332-1342.

Gu, Y., Lu, W., Qin, L., Li, M., & Shao, Z. (2019). Short-term prediction of lane-level traffic speeds: a fusion deep learning model. Transportation Research Part C: Emerging Technologies, 106, 1-16.

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