A Reinforcement Learning-Based Vehicle Platoon Control Strategy for Reducing Energy Consumption in Traffic Oscillations. - Meng Li 033; Zehong Cao; Zhibin Li 003 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Enhancing Cooperation of Vehicle Merging Control in Heavy Traffic Using Communication-Based Soft Actor-Critic Algorithm. - Meng Li 033; Zhibin Li 003; Shunchao Wang; Si Zheng 002 (IEEE Trans. Intell. Transp. Syst., 2023)

Anti-Disturbance Self-Supervised Reinforcement Learning for Perturbed Car-Following System. - Meng Li 033; Zhibin Li 003; Shunchao Wang; Bingtong Wang (IEEE Trans. Veh. Technol., 2023)

Collision Avoidance Motion Planning for Connected and Automated Vehicle Platoon Merging and Splitting With a Hybrid Automaton Architecture. - Shunchao Wang; Zhibin Li 003; Bingtong Wang; Meng Li 033 (IEEE Trans. Intell. Transp. Syst., 2024)

Enhancing Car-Following Performance in Traffic Oscillations Using Expert Demonstration Reinforcement Learning. - Meng Li 033; Zhibin Li 003; Zehong Cao (IEEE Trans. Intell. Transp. Syst., 2024)

Augmented Mixed Vehicular Platoon Control With Dense Communication Reinforcement Learning for Traffic Oscillation Alleviation. - Meng Li 033; Zehong Cao; Zhibin Li 003 (IEEE Internet Things J., 2024)

A Bounded Rationality-Aware Car-Following Strategy for Alleviating Cut-In Events and Traffic Disturbances in Traffic Oscillations. - Meng Li 033; Zhibin Li 003; Bingtong Wang; Shunchao Wang (IEEE Trans. Intell. Transp. Syst., 2024)