Meng Li
박사후연구원Postdoctoral Researcher
Mixed traffic control · Proactive safety
논문 실적Publication record20
2026
- A cross-scale traffic-communication control framework for improving safety through proactive congestion mitigation in mixed traffic
Z Wu, M Li, Y Guo, Z Li, S Wang
저널journalAccident Analysis & Prevention
- Wavelet-Attention Transformer-Based Traffic Image Dehazing for Intelligent and Connected Transportation Systems
C Wei, Z Li, S Wang, M Li, B Wang, H Zhu
저널journalIEEE Internet of Things Journal
- Physics-informed machine learning for autonomous driving: From perception to control
Y Yang, M Li, Y Wang
저널journalJournal of Intelligent and Connected Vehicles
- Incorporating multi-path risk assessment in transformer-based pedestrian crossing action prediction
B Liu, M Li, R Feng, W Zhou, Z Li
저널journalAccident Analysis & Prevention
2025
- Serial distributed reinforcement learning for enhanced multi-objective platoon control in curved road coordinates
M Li, B Wang, S Wang, Z Ke
저널journalExpert Systems with Applications
- Virtual car following based cooperative control of connected automated vehicles in complex scenarios: A roundabout example
M Li, S Ahn, Y Zhou, S Li
저널journalTransportation Research Part C: Emerging Technologies
- A Vehicle Size-Based Dynamic Model of Artificial Driving Risk Potential Fields and Vehicle Interaction Analysis for Highway Driving
R Ling, M Li, B Liu, Z Li
저널journalarXiv preprint arXiv:2412.19190
2024
- Enhancing reinforcement learning‐based ramp metering performance at freeway uncertain bottlenecks using curriculum learning
S Zheng, Z Li, M Li, Z Ke
저널journalIET Intelligent Transport Systems
- A bounded rationality-aware car-following strategy for alleviating cut-in events and traffic disturbances in traffic oscillations
M Li, Z Li, B Wang, S Wang
저널journalIEEE Transactions on Intelligent Transportation Systems
- Augmented mixed vehicular platoon control with dense communication reinforcement learning for traffic oscillation alleviation
M Li, Z Cao, Z Li
저널journalIEEE Internet of Things Journal
- Enhancing car-following performance in traffic oscillations using expert demonstration reinforcement learning
M Li, Z Li, Z Cao
저널journalIEEE Transactions on Intelligent Transportation Systems
- 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
저널journalJournal of Intelligent Transportation Systems
- 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
저널journalIEEE Transactions on Intelligent Transportation Systems
2023
- 智能网联环境交通流波动消除理论与方法综述 (A Review of Theories and Methods for Eliminating Traffic Flow Oscillations in an Intelligent Connected Environment)
Z Li, M Li, P Liu, C Xu (Total 4 authors)
저널journal交通科技与经济
- Anti-disturbance self-supervised reinforcement learning for perturbed car-following system
M Li, Z Li, S Wang, B Wang
저널journalIEEE Transactions on Vehicular Technology
- Coordinated variable speed limit control for consecutive bottlenecks on freeways using multiagent reinforcement learning
S Zheng, M Li, Z Ke, Z Li
저널journalJournal of Advanced Transportation
- Enhancing cooperation of vehicle merging control in heavy traffic using communication-based soft actor-critic algorithm
M Li, Z Li, S Wang, S Zheng
저널journalIEEE Transactions on Intelligent Transportation Systems
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
저널journalTransportation Research Part B: Methodological
- 面向瓶颈多簇运动波消除的拥堵吸收智能驾驶模型 (Congestion-absorbing Intelligent Driving Model for Eliminating Multi-cluster Moving Waves at Bottlenecks)
S Wang, Z Li, Y Wu, B Wang, M Li (Total 5 authors)
저널journal中国公路学报
2021
- A reinforcement learning-based vehicle platoon control strategy for reducing energy consumption in traffic oscillations
M Li, Z Cao, Z Li
저널journalIEEE Transactions on Neural Networks and Learning Systems