| Stability analysis of heterogeneous traffic flow influenced by memory feedback control signal T Wang, R Cheng, Y Wu Applied Mathematical Modelling 109, 693-708, 2022 | 48 | 2022 |
| An extended two-lane lattice hydrodynamic model for traffic flow on curved road with passing T Wang, R Cheng, H Ge Physica A: Statistical Mechanics and Its Applications 533, 121915, 2019 | 33 | 2019 |
| Analysis of a novel two-lane lattice hydrodynamic model considering the empirical lane changing rate and the self-stabilization effect T Wang, R Cheng, H Ge IEEE Access 7, 174725-174733, 2019 | 30 | 2019 |
| Improved longitudinal control strategy for connected and automated truck platoon against cyberattacks H Lyu, T Wang, R Cheng, H Ge IET Intelligent Transport Systems 16 (12), 1710-1725, 2022 | 26 | 2022 |
| A novel spatio-temporal generative inference network for predicting the long-term highway traffic speed G Zou, Z Lai, C Ma, Y Li, T Wang Transportation research part C: emerging technologies 154, 104263, 2023 | 14 | 2023 |
| Analysis of a novel lattice hydrodynamic model considering predictive effect and flow integral T Wang, R Cheng, H Ge Physica A: Statistical Mechanics and its Applications 527, 121425, 2019 | 14 | 2019 |
| An Extended Car‐Following Model considering the Driver’s Desire for Smooth Driving and Self‐Stabilizing Control with Velocity Uncertainty S Li, T Wang, R Cheng, H Ge Mathematical Problems in Engineering 2020 (1), 9546012, 2020 | 10 | 2020 |
| Mt-stnet: A novel multi-task spatiotemporal network for highway traffic flow prediction G Zou, Z Lai, T Wang, Z Liu, Y Li IEEE Transactions on Intelligent Transportation Systems, 2024 | 6 | 2024 |
| Multi-task-based spatiotemporal generative inference network: A novel framework for predicting the highway traffic speed G Zou, Z Lai, T Wang, Z Liu, J Bao, C Ma, Y Li, J Fan Expert Systems with Applications 237, 121548, 2024 | 6 | 2024 |
| Analysis of an extended two-lane lattice hydrodynamic model considering mixed traffic flow and self-stabilization effect T Wang, R Cheng, H Ge Engineering Computations 38 (1), 58-82, 2021 | 6 | 2021 |
| Impact evaluation of cyberattacks on connected and automated vehicles in mixed traffic flow and its resilient and robust control strategy T Wang, M Tu, H Lyu, Y Li, O Orfila, G Zou, D Gruyer Sensors 23 (1), 74, 2022 | 5 | 2022 |
| PI-STGnet: Physics-integrated spatiotemporal graph neural network with fundamental diagram learner for highway traffic flow prediction T Wang, D Ngoduy, G Zou, T Dantsuji, Z Liu, Y Li Expert Systems with Applications 258, 125144, 2024 | 3 | 2024 |
| Koopman theory meets graph convolutional network: Learning the complex dynamics of non-stationary highway traffic flow for spatiotemporal prediction T Wang, D Ngoduy, Y Li, H Lyu, G Zou, T Dantsuji Chaos, Solitons & Fractals 187, 115437, 2024 | 3 | 2024 |
| Knowledge-data fusion oriented traffic state estimation: A stochastic physics-informed deep learning approach T Wang, Y Li, R Cheng, G Zou, T Dantsujic, D Ngoduy arXiv preprint arXiv:2409.00644, 2024 | | 2024 |
| STdi4DMPC: Distributed Model Predictive Control for Connected and Automated Truck Platoon with Mixed Traffic Flow Based on Spatiotemporal Trajectory Prediction L Li, H Lyu, T Wang, R Cheng IEEE Transactions on Vehicular Technology, 2024 | | 2024 |
| Multi-Task-Based Spatio-Temporal Generative Inference Network for Predicting Highway Traffic Speed G Zou, J Fan, H Wang, C Ma, T Wang, Y Li 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023 | | 2023 |
