| Short-term prediction of safety and operation impacts of lane changes in oscillations with empirical vehicle trajectories M Li, Z Li, C Xu, T Liu Accident Analysis & Prevention 135, 105345, 2020 | 82 | 2020 |
| A reinforcement learning-based vehicle platoon control strategy for reducing energy consumption in traffic oscillations M Li, Z Cao, Z Li IEEE Transactions on Neural Networks and Learning Systems 32 (12), 5309-5322, 2021 | 59 | 2021 |
| Deep reinforcement learning-based vehicle driving strategy to reduce crash risks in traffic oscillations M Li, Z Li, C Xu, T Liu Transportation research record 2674 (10), 42-54, 2020 | 24 | 2020 |
| A deep reinforcement learning-based ramp metering control framework for improving traffic operation at freeway weaving sections M Yang, Z Li, Z Ke, M Li Proceedings of the Transportation Research Board 98th Annual Meeting …, 2019 | 21 | 2019 |
| Fuzzy self‐adaptive proportional–integral–derivative control strategy for ramp metering at distance downstream bottlenecks L Zhao, Z Li, Z Ke, M Li IET Intelligent Transport Systems 14 (4), 250-256, 2020 | 7 | 2020 |
| Coordinated variable speed limit control for consecutive bottlenecks on freeways using multiagent reinforcement learning S Zheng, M Li, Z Ke, Z Li Journal of advanced transportation 2023, 2023 | 6 | 2023 |
| Enhancing cooperation of vehicle merging control in heavy traffic using communication-based soft actor-critic algorithm M Li, Z Li, S Wang, S Zheng IEEE transactions on intelligent transportation systems, 2022 | 6 | 2022 |
| Modeling bounded rationality in discretionary lane change with the quantal response equilibrium of game theory B Wang, Z Li, S Wang, M Li, A Ji Transportation research part B: methodological 164, 145-161, 2022 | 6 | 2022 |
| Distant downstream bottlenecks in local ramp metering: comparison of fuzzy self-adaptive PID controller and PI-ALINEA L Zhao, Z Li, Z Ke, M Li CICTP 2019, 2532-2542, 2019 | 6 | 2019 |
| Anti-disturbance self-supervised reinforcement learning for perturbed car-following system M Li, Z Li, S Wang, B Wang IEEE Transactions on Vehicular Technology, 2023 | 4 | 2023 |
| A cooperative energy efficient truck platoon lane-changing model preventing platoon decoupling in a mixed traffic environment M Li, Z Li, Y Zhou, J Wu Journal of Intelligent Transportation Systems 28 (2), 174-188, 2024 | 1 | 2024 |
| Enhancing reinforcement learning‐based ramp metering performance at freeway uncertain bottlenecks using curriculum learning S Zheng, Z Li, M Li, Z Ke IET Intelligent Transport Systems, 2024 | 1 | 2024 |
| Collision Avoidance Motion Planning for Connected and Automated Vehicle Platoon Merging and Splitting With a Hybrid Automaton Architecture S Wang, Z Li, B Wang, M Li IEEE Transactions on Intelligent Transportation Systems, 2023 | 1 | 2023 |
| Enhancing Car-Following Performance in Traffic Oscillations Using Expert Demonstration Reinforcement Learning M Li, Z Li, Z Cao IEEE Transactions on Intelligent Transportation Systems, 2024 | | 2024 |
| Enhancing Real-Time Crash Risk Prediction Performance Considering Spatial and Temporal Correlations in Support Vector Machine T Liu, Z Li, Z Pu, C Xu, M Li Transportation Research Board 98th Annual MeetingTransportation Research Board, 2019 | | 2019 |
| Short-Term Prediction of Operational and Safety Impacts of Lane Changes in Oscillations with Empirical Vehicle Trajectories M Li, Z Li, Z Pu, T Liu, P Liu Transportation Research Board 98th Annual MeetingTransportation Research Board, 2019 | | 2019 |
| A Bounded Rationality-Aware Car-Following Strategy for Alleviating Cut-In Events and Traffic Disturbances in Traffic Oscillations M Li, Z Li, B Wang Available at SSRN 4484036, 0 | | |
Zhibin LiProfessor in School of Transportation, Southeast UniversityVerified email at seu.edu.cn
