Rolling horizon stochastic optimal control strategy for ACC and CACC under uncertainty Y Zhou, S Ahn, M Chitturi, DA Noyce Transportation Research Part C: Emerging Technologies 83, 61-76, 2017 | 183 | 2017 |
Stabilizing mixed vehicular platoons with connected automated vehicles: An H-infinity approach Y Zhou, S Ahn, M Wang, S Hoogendoorn Transportation Research Part B: Methodological 132, 152-170, 2020 | 181 | 2020 |
Distributed model predictive control approach for cooperative car-following with guaranteed local and string stability Y Zhou, M Wang, S Ahn Transportation research part B: methodological 128, 69-86, 2019 | 180 | 2019 |
An analytical optimal control approach for virtually coupled high-speed trains with local and string stability Y Liu, Y Zhou, S Su, J Xun, T Tang Transportation Research Part C: Emerging Technologies 125, 102886, 2021 | 133 | 2021 |
A nonlinear safety equilibrium spacing-based model predictive control for virtually coupled train set over gradient terrains S Su, J She, K Li, X Wang, Y Zhou IEEE Transactions on Transportation Electrification 8 (2), 2810-2824, 2021 | 116 | 2021 |
Robust local and string stability for a decentralized car following control strategy for connected automated vehicles Y Zhou, S Ahn Transportation Research Part B: Methodological 125, 175-196, 2019 | 107 | 2019 |
Connected automated vehicle cooperative control with a deep reinforcement learning approach in a mixed traffic environment H Shi, Y Zhou, K Wu, X Wang, Y Lin, B Ran Transportation Research Part C: Emerging Technologies 133, 103421, 2021 | 100 | 2021 |
Cooperative control of high-speed trains for headway regulation: A self-triggered model predictive control based approach J Xun, J Yin, R Liu, F Liu, Y Zhou, T Tang Transportation research part C: emerging technologies 102, 106-120, 2019 | 76 | 2019 |
The cooperative sorting strategy for connected and automated vehicle platoons J Wu, S Ahn, Y Zhou, P Liu, X Qu Transportation Research Part C: Emerging Technologies 123, 102986, 2021 | 56 | 2021 |
Connected and automated vehicle distributed control for on-ramp merging scenario: A virtual rotation approach T Chen, M Wang, S Gong, Y Zhou, B Ran Transportation Research Part C: Emerging Technologies 133, 103451, 2021 | 54 | 2021 |
A deep reinforcement learning‐based distributed connected automated vehicle control under communication failure H Shi, Y Zhou, X Wang, S Fu, S Gong, B Ran Computer‐Aided Civil and Infrastructure Engineering 37 (15), 2033-2051, 2022 | 48 | 2022 |
An integrated car-following and lane changing vehicle trajectory prediction algorithm based on a deep neural network K Shi, Y Wu, H Shi, Y Zhou, B Ran Physica A: Statistical Mechanics and its Applications 599, 127303, 2022 | 42 | 2022 |
Platoon trajectories generation: A unidirectional interconnected LSTM-based car-following model Y Lin, P Wang, Y Zhou, F Ding, C Wang, H Tan IEEE Transactions on Intelligent Transportation Systems 23 (3), 2071-2081, 2020 | 42 | 2020 |
Robustly string stable longitudinal control for vehicle platoons under communication failures: A generalized extended state observer-based control approach Q Chen, Y Zhou, S Ahn, J Xia, S Li, S Li IEEE Transactions on Intelligent Vehicles 8 (1), 159-171, 2022 | 38 | 2022 |
Make space to change lane: A cooperative adaptive cruise control lane change controller H Wang, J Lai, X Zhang, Y Zhou, S Li, J Hu Transportation research part C: emerging technologies 143, 103847, 2022 | 36 | 2022 |
A deep reinforcement learning based distributed control strategy for connected automated vehicles in mixed traffic platoon H Shi, D Chen, N Zheng, X Wang, Y Zhou, B Ran Transportation Research Part C: Emerging Technologies 148, 104019, 2023 | 34 | 2023 |
Control strategy for stable formation of high‐speed virtually coupled trains with disturbances and delays Y Liu, Y Zhou, S Su, J Xun, T Tang Computer‐Aided Civil and Infrastructure Engineering 38 (5), 621-639, 2023 | 31 | 2023 |
An integrated model for autonomous speed and lane change decision-making based on deep reinforcement learning J Peng, S Zhang, Y Zhou, Z Li IEEE Transactions on Intelligent Transportation Systems 23 (11), 21848-21860, 2022 | 31 | 2022 |
A stabilized virtual coupling scheme for a train set with heterogeneous braking dynamics capability S Su, J She, D Wang, S Gong, Y Zhou Transportation Research Part C: Emerging Technologies 146, 103947, 2023 | 27 | 2023 |
A distributed deep reinforcement learning–based integrated dynamic bus control system in a connected environment H Shi, Q Nie, S Fu, X Wang, Y Zhou, B Ran Computer‐Aided Civil and Infrastructure Engineering 37 (15), 2016-2032, 2022 | 26 | 2022 |