Safe Reinforcement Learning-Based Eco-Driving Control for Mixed Traffic Flows With Disturbances
Safe reinforcement learning framework for eco-driving that maintains robust safety under traffic disturbances.
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Professional Summary
Qun Wang is a Postdoctoral Fellow at the AIMS Lab, Hong Kong Polytechnic
University, working with Assistant Professor Hailong Huang. His research
focuses on energy-saving optimization and safety-guaranteed control of
autonomous electrified vehicles, with emphasis on reinforcement
learning for eco-driving, human driving behavior modeling, and
multi-agent car-following control. He has published over 10 papers in
leading journals including IEEE Transactions on ITS, TTE, TCST and Energy.
Education
PhD in Mechanical Engineering
2018-09-01
2024-06-30
Nanjing University of Science and Technology
Visiting PhD Researcher
2022-02-01
2023-10-31
National University of Singapore
BEng in Vehicle Engineering
2014-09-01
2018-06-30
Nanjing University of Science and Technology
Interests
Autonomous Electrified Vehicles
Intelligent Transportation Systems
Eco-driving & Energy Optimization
Reinforcement Learning
Multi-agent Systems
Human Driving Behavior Modeling
📚 My Research
My research focuses on energy-saving optimization and safety-guaranteed driving of autonomous electrified vehicles, with particular emphasis on reinforcement learning, multi-agent systems, and human driver behavior modeling in mixed traffic flows.
Specific areas of interest include:
- Reinforcement learning for eco-driving: designing control strategies for connected vehicles that cut energy consumption without compromising safety.
- Multi-agent car-following control: cooperative policies for platoons of connected electrified vehicles.
- Human driving behavior modeling: calibrating driver preferences from naturalistic driving data into distributions usable by autonomous controllers.
- Safe learning-based control: embedding control-barrier-function guarantees into reinforcement-learning controllers.
I have published more than 10 papers in leading journals including IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Transportation Electrification, IEEE Transactions on Control Systems Technology, and Energy. I’m always happy to discuss collaborations — please reach out!
Featured Publications
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1 min read
Multi-agent Reinforcement Learning for Ecological Car-Following Control in Mixed Traffic
Multi-agent reinforcement learning enables cooperative, energy-efficient car-following among connected electrified vehicles.
Qun Wang
Adaptive Leading Cruise Control in Mixed Traffic Considering Human Behavioral Diversity
Reinforcement learning-based eco-cruising for connected vehicles in mixed traffic, calibrated against real human driver behaviors.
Qun Wang
Ecological Cruising Control of Connected Electric Vehicle: A Deep Reinforcement Learning Approach
Deep reinforcement learning strategy for energy-efficient cruising of connected electric vehicles.
Qun Wang
Recent Publications
(2025).
Safe Reinforcement Learning-Based Eco-Driving Control for Mixed Traffic Flows With Disturbances.
IEEE T-ITS.
(2024).
Multi-agent Reinforcement Learning for Ecological Car-Following Control in Mixed Traffic.
IEEE T-TE.
(2024).
Physics-Augmented Data-Enabled Predictive Control for Eco-driving of Mixed Traffic Considering Diverse Human Behaviors.
IEEE TCST.
Recent & Upcoming Talks
Create Beautiful Presentations with Markdown
Discover how to create stunning, interactive presentations using simple Markdown — no PowerPoint, Keynote, or vendor lock-in required.
Qun Wang
Recent News
Trending
⚡️ Turn Jupyter Notebooks into Blog Posts
Publish your data science and research directly from Jupyter Notebooks. No screenshots required.
Qun Wang
Trending
🎉 Easily create your own simple yet highly customizable blog
Take full control of your personal brand and privacy by migrating away from the big tech platforms!
Qun Wang
🧠 Sharpen your thinking with a second brain
Create a personal knowledge base and share your knowledge with your peers.
Qun Wang
📈 Communicate your results effectively with the best data visualizations
Use popular tools such as HuggingFace, Plotly, Mermaid, and data frames.
Qun Wang
👩🏼🏫 Teach academic courses
Embed videos, podcasts, code, LaTeX math, and even test students!
Qun Wang
✅ Manage your projects
Easily manage your projects - create ideation mind maps, Gantt charts, todo lists, and more!
Qun Wang