7 citations · 16 across the 7 of their papers we have counts for
7 papers
Multi-Agent Reinforcement Learning for Connected and Automated Vehicles Control: Recent Advancements and Future Prospects
Min Hua, Dong Chen, Xinda Qi +4
Connected and automated vehicles (CAVs) are considered a potential solution for future transportation challenges, aiming to develop systems that are efficient, safe, and environmen…
Recent Progress in Energy Management of Connected Hybrid Electric Vehicles Using Reinforcement Learning
Min Hua, Bin Shuai, Quan Zhou +3
The growing adoption of hybrid electric vehicles (HEVs) presents a transformative opportunity for revolutionizing transportation energy systems. The shift towards electrifying tran…
Study on the Impacts of Hazardous Behaviors on Autonomous Vehicle Collision Rates Based on Humanoid Scenario Generation in CARLA
Longfei Mo, Min Hua, Hongyu Sun +3
Testing of function safety and Safety Of The Intended Functionality (SOTIF) is important for autonomous vehicles (AVs). It is hard to test the AV's hazard response in the real worl…
Optimal Energy Management of Plug-in Hybrid Vehicles Through Exploration-to-Exploitation Ratio Control in Ensemble Reinforcement Learning
Bin Shuai, Min Hua, Yanfei Li +3
Developing intelligent energy management systems with high adaptability and superiority is necessary and significant for Hybrid Electric Vehicles (HEVs). This paper proposed an ens…
Energy Management of Multi-mode Plug-in Hybrid Electric Vehicle using Multi-agent Deep Reinforcement Learning
Min Hua, Cetengfei Zhang, Fanggang Zhang +4
The recently emerging multi-mode plug-in hybrid electric vehicle (PHEV) technology is one of the pathways making contributions to decarbonization, and its energy management require…
Empirical Analysis of AI-based Energy Management in Electric Vehicles: A Case Study on Reinforcement Learning
Jincheng Hu, Yang Lin, Jihao Li +5
Reinforcement learning-based (RL-based) energy management strategy (EMS) is considered a promising solution for the energy management of electric vehicles with multiple power sourc…
Energy Management of Multi-mode Hybrid Electric Vehicles based on Hand-shaking Multi-agent Learning
Min Hua, Zhi Li, Quan Zhou
The future transportation system will be a multi-agent network where connected AI agents can work together to address the grand challenges in our age, e.g., mitigation of real-worl…