Artiklar med krav på offentlig åtkomst - Yu HanLäs mer
Inte tillgängliga någonstans: 6
A linear Lagrangian model predictive controller of macro-and micro-variable speed limits to eliminate freeway jam waves
Y Han, M Wang, Z He, Z Li, H Wang, P Liu
Transportation research part C: emerging technologies 128, 103121, 2021
Krav: National Natural Science Foundation of China
An optimal control-based vehicle speed guidance strategy to improve traffic safety and efficiency against freeway jam waves
Y Han, H Yu, Z Li, C Xu, Y Ji, P Liu
Accident Analysis & Prevention 163, 106429, 2021
Krav: National Natural Science Foundation of China
Coordinated control of urban expressway integrating adjacent signalized intersections using adversarial network based reinforcement learning method
G Han, Y Han, H Wang, T Ruan, C Li
IEEE Transactions on Intelligent Transportation Systems 25 (2), 1857-1871, 2023
Krav: National Natural Science Foundation of China
A streaming-data-driven method for freeway traffic state estimation using probe vehicle trajectory data
Y Han, M Zhang, Y Guo, L Zhang
Physica A: Statistical Mechanics and its Applications 606, 128045, 2022
Krav: National Natural Science Foundation of China
Traffic state prediction for urban networks: A spatial–temporal transformer network model
X Ji, P Mao, Y Han
Journal of transportation engineering, Part A: Systems 149 (11), 04023105, 2023
Krav: National Natural Science Foundation of China
Perimeter Control-Based Coordinated Ramp Metering with Linked Queue Management for Freeway Networks
Z He, Y Han, W Guo, Y Ji, P Liu
Transportation Research Record, 03611981241262313, 2024
Krav: National Natural Science Foundation of China
Tillgängliga någonstans: 7
A physics-informed reinforcement learning-based strategy for local and coordinated ramp metering
Y Han, M Wang, L Li, C Roncoli, J Gao, P Liu
Transportation Research Part C: Emerging Technologies 137, 103584, 2022
Krav: National Natural Science Foundation of China
Leveraging reinforcement learning for dynamic traffic control: A survey and challenges for field implementation
Y Han, M Wang, L Leclercq
Communications in Transportation Research 3, 100104, 2023
Krav: National Natural Science Foundation of China
A new reinforcement learning-based variable speed limit control approach to improve traffic efficiency against freeway jam waves
Y Han, A Hegyi, L Zhang, Z He, E Chung, P Liu
Transportation research part C: emerging technologies 144, 103900, 2022
Krav: National Natural Science Foundation of China
Decentralized signal control for multi-modal traffic network: A deep reinforcement learning approach
J Yu, PA Laharotte, Y Han, L Leclercq
Transportation Research Part C: Emerging Technologies 154, 104281, 2023
Krav: European Commission
Vehicle and charging scheduling of electric bus fleets: A comprehensive review
L Zhang, Y Han, J Peng, Y Wang
Journal of Intelligent and Connected Vehicles 6 (3), 116-124, 2023
Krav: National Natural Science Foundation of China
Perimeter control with heterogeneous metering rates for cordon signals: A physics-regularized multi-agent reinforcement learning approach
J Yu, PA Laharotte, Y Han, W Ma, L Leclercq
Transportation Research Part C: Emerging Technologies 171, 104944, 2025
Krav: European Commission
Fusion of multi-resolution data for estimating speed-density relationships
L Bai, W Wong, P Xu, P Liu, AHF Chow, WHK Lam, W Ma, Y Han, ...
Transportation Research Part C: Emerging Technologies 165, 104742, 2024
Krav: Research Grants Council, Hong Kong
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