4 papers
From Sensing to Decision: A Generic Architecture for Freight Signal Priority Systems
Ziyan Zhang, Xuanpeng Zhao, Chuheng Wei +5
Freight Signal Priority (FSP) systems have emerged as a promising strategy to enhance freight mobility and reduce corridor delays in urban networks. While extensive research has fo…
HONEST-CAV: Hierarchical Optimization of Network Signals and Trajectories for Connected and Automated Vehicles with Multi-Agent Reinforcement Learning
Ziyan Zhang, Changxin Wan, Peng Hao +5
This study presents a hierarchical, network-level traffic flow control framework for mixed traffic consisting of Human-driven Vehicles (HVs), Connected and Automated Vehicles (CAVs…
NavG: Risk-Aware Navigation in Crowded Environments Based on Reinforcement Learning with Guidance Points
Qianyi Zhang, Wentao Luo, Boyi Liu +3
Motion planning in navigation systems is highly susceptible to upstream perceptual errors, particularly in human detection and tracking. To mitigate this issue, the concept of guid…
GA-TEB: Goal-Adaptive Framework for Efficient Navigation Based on Goal Lines
Qianyi Zhang, Wentao Luo, Ziyang Zhang +2
In crowd navigation, the local goal plays a crucial role in trajectory initialization, optimization, and evaluation. Recognizing that when the global goal is distant, the robot's p…