5 papers
Fair and Safe: A Real-Time Hierarchical Control Framework for Intersections
Lei Shi, Yongju Kim, Xinzhi Zhong +3
Ensuring fairness in the coordination of connected and automated vehicles at intersections is essential for equitable access, social acceptance, and long-term system efficiency, ye…
Interaction-aware Lane-Changing Early Warning System in Congested Traffic
Yue Zhang, Xinzhi Zhong, Soyoung Ahn +2
Lane changes (LCs) in congested traffic are complex, multi-vehicle interactive events that pose significant safety concerns. Providing early warnings can enable more proactive driv…
Human-Machine Interaction in Automated Vehicles: Reducing Voluntary Driver Intervention
Xinzhi Zhong, Yang Zhou, Varshini Kamaraj +5
This paper develops a novel car-following control method to reduce voluntary driver interventions and improve traffic stability in Automated Vehicles (AVs). Through a combination o…
Understanding Heterogeneity of Automated Vehicles and Its Traffic-level Impact: A Stochastic Behavioral Perspective
Xinzhi Zhong, Yang Zhou, Soyoung Ahn +1
This paper develops a stochastic and unifying framework to examine variability in car-following (CF) dynamics of commercial automated vehicles (AVs) and its direct relation to traf…
Learning Driver Models for Automated Vehicles via Knowledge Sharing and Personalization
Wissam Kontar, Xinzhi Zhong, Soyoung Ahn
This paper describes a framework for learning Automated Vehicles (AVs) driver models via knowledge sharing between vehicles and personalization. The innate variability in the trans…