activity
20192021
most citedDampen the Stop-and-Go Traffic with Connected and Automated Vehicles -- A Deep Reinforcement Learning Approach

4 citations · 4 across the 2 of their papers we have counts for

collaborators

5 papers

eess.SY2021

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…

eess.SY2021

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…

eess.SY2021

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…

eess.SP20204 cited

Dampen the Stop-and-Go Traffic with Connected and Automated Vehicles -- A Deep Reinforcement Learning Approach

Liming Jiang, Yuanchang Xie, Danjue Chen +2

Stop-and-go traffic poses many challenges to tranportation system, but its formation and mechanism are still under exploration.however, it has been proved that by introducing Conne…

nlin.AO2019

Car following behavioral stochasticity analysis and modelling: Perspective from wave travel time

Junfang Tian, Chenqiang Zhu, Danjue Chen +3

This paper analyzes the car following behavioral stochasticity based on two sets of field experimental trajectory data by measuring the wave travel time series of vehicle n. The an…