3 citations · 3 across the 5 of their papers we have counts for
5 papers
Platoon-Centric Green Light Optimal Speed Advisory Using Safe Reinforcement Learning
Ruining Yang, Jingyuan Zhou, Qiqing Wang +2
With recent advancements in Connected Autonomous Vehicles (CAVs), Green Light Optimal Speed Advisory (GLOSA) emerges as a promising eco-driving strategy to reduce the number of sto…
Enforcing Cooperative Safety for Reinforcement Learning-based Mixed-Autonomy Platoon Control
Jingyuan Zhou, Longhao Yan, Jinhao Liang +1
It is recognized that the control of mixed-autonomy platoons comprising connected and automated vehicles (CAVs) and human-driven vehicles (HDVs) can enhance traffic flow. Among exi…
Interaction-Aware Trajectory Prediction for Safe Motion Planning in Autonomous Driving: A Transformer-Transfer Learning Approach
Jinhao Liang, Chaopeng Tan, Longhao Yan +3
A critical aspect of safe and efficient motion planning for autonomous vehicles (AVs) is to handle the complex and uncertain behavior of surrounding human-driven vehicles (HDVs). D…
Enhancing High-Speed Cruising Performance of Autonomous Vehicles through Integrated Deep Reinforcement Learning Framework
Jinhao Liang, Kaidi Yang, Chaopeng Tan +2
High-speed cruising scenarios with mixed traffic greatly challenge the road safety of autonomous vehicles (AVs). Unlike existing works that only look at fundamental modules in isol…
Bi-Level Control of Weaving Sections in Mixed Traffic Environments with Connected and Automated Vehicles
Longhao Yan, Jinhao Liang, Kaidi Yang
Connected and automated vehicles (CAVs) can be beneficial for improving the operation of highway bottlenecks such as weaving sections. This paper proposes a bi-level control approa…