1 citations · 1 across the 2 of their papers we have counts for
3 papers
eess.SY2024★ 1 cited
Safe Reinforcement Learning-Based Eco-Driving Control for Mixed Traffic Flows With Disturbances
Ke Lu, Dongjun Li, Qun Wang +3
This paper presents a safe learning-based eco-driving framework tailored for mixed traffic flows, which aims to optimize energy efficiency while guaranteeing safety during real-sys…
eess.SY2023
Physics-Augmented Data-EnablEd Predictive Control for Eco-driving of Mixed Traffic Considering Diverse Human Behaviors
Dongjun Li, Kaixiang Zhang, Haoxuan Dong +3
Data-driven cooperative control of connected and automated vehicles (CAVs) has gained extensive research interest as it can utilize collected data to generate control actions witho…
eess.SY2022
Adaptive Leading Cruise Control in Mixed Traffic Considering Human Behavioral Diversity
Qun Wang, Haoxuan Dong, Fei Ju +4
This paper presents an adaptive leading cruise control strategy for the connected and automated vehicle (CAV) and first considers its impact on the following human-driven vehicle (…