71 citations · 101 across the 8 of their papers we have counts for
9 papers
Impact of Acceleration/deceleration Limits on the String Stability of Adaptive Cruise Control
Hao Zhou, Anye Zhou, Tienan Li +3
This paper demonstrates that the acceleration/deceleration limits in ACC systems can make a string stable ACC amplify the speed perturbation in natural driving. It is shown that th…
Fundamental Diagrams of Commercial Adaptive Cruise Control: Worldwide Experimental Evidence
Tienan Li, Danjue Chen, Hao Zhou +2
Experimental measurements on commercial adaptive cruise control (ACC) vehicles \RoundTwo{are} becoming increasingly available from around the world, providing an unprecedented oppo…
Significance of Low-level Controller for String Stability under Adaptive Cruise Control
Hao Zhou, Anye Zhou, Tienan Li +3
Current commercial adaptive cruise control (ACC) systems consist of an upper-level planner controller that decides the optimal trajectory that should be followed, and a low-level c…
Congested Urban Networks Tend to Be Insensitive to Signal Settings: Implications for Learning-Based Control
Jorge Laval, Hao Zhou
This paper highlights several properties of large urban networks that can have an impact on machine learning methods applied to traffic signal control. In particular, we show that…
Review of Learning-based Longitudinal Motion Planning for Autonomous Vehicles: Research Gaps between Self-driving and Traffic Congestion
Hao Zhou, Jorge Laval, Anye Zhou +4
Self-driving technology companies and the research community are accelerating their pace to use machine learning longitudinal motion planning (mMP) for autonomous vehicles (AVs). T…
Large-scale traffic signal control using machine learning: some traffic flow considerations
Jorge A. Laval, Hao Zhou
This paper uses supervised learning, random search and deep reinforcement learning (DRL) methods to control large signalized intersection networks. The traffic model is Cellular Au…