5 papers
Shared Control for Vehicle Lane-Changing with Uncertain Driver Behaviors
Jiamin Wu, Chenguang Zhao, Huan Yu
Lane changes are common yet challenging driving maneuvers that require continuous decision-making and dynamic interaction with surrounding vehicles. Relying solely on human drivers…
From Micro to Macro Flow Modeling: Characterizing Heterogeneity of Mixed-Autonomy Traffic
Chenguang Zhao, Huan Yu
Most autonomous-vehicles (AVs) driving strategies are designed and analyzed at the vehicle level, yet their aggregate impact on macroscopic traffic flow is still not understood, pa…
Physics-Informed Neural Networks for Nonlocal Flow Modeling of Connected Automated Vehicles
Chenguang Zhao, Huan Yu
Connected automated vehicles (CAVs) cruising control strategies have been extensively studied at the microscopic level. CAV controllers sense and react to traffic both upstream and…
Adaptive Event-triggered Formation Control of Autonomous Vehicles
Ziming Wang, Yihuai Zhang, Chenguang Zhao +1
This paper presents adaptive event-triggered formation control strategies for autonomous vehicles (AVs) subject to longitudinal and lateral motion uncertainties. The proposed frame…
Reinforcement Learning for Freeway Lane-Change Regulation via Connected Vehicles
Ke Sun, Huan Yu
Lane change decision-making is challenging due to complex vehicle-vehicle and vehicle-infrastructure interactions. Existing lane-change control methods often rely on vehicles with…