activity
20192021
most citedConnected and Automated Vehicle Distributed Control for On-ramp Merging Scenario: A Virtual Rotation Approach

109 citations · 122 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SY2021★ 109 cited

Connected and Automated Vehicle Distributed Control for On-ramp Merging Scenario: A Virtual Rotation Approach

Tianyi Chen, Meng Wang, Siyuan Gong +2

In this study, we propose a rotation-based connected automated vehicle (CAV) distributed cooperative control strategy for an on-ramp merging scenario. By assuming the mainline and…

eess.SY2021

Infrastructure Assisted Constrained Connected Automated Vehicle Trajectory Optimization on Curved Roads: A Spatial Formulation on a Curvilinear Coordinate

Ran Yi, Yang Zhou, Xin Wang +3

Vehicle trajectory optimization is essential to ensure vehicles travel efficiently and safely. This paper presents an infrastructure assisted constrained connected automated vehicl…

eess.SY2020★ 1 cited

Partially Connected Automated Vehicle Cooperative Control Strategy with a Deep Reinforcement Learning Approach

Haotian Shi, Yang Zhou, Keshu Wu +3

This paper proposes a cooperative strategy of connected and automated vehicles (CAVs) longitudinal control for partially connected and automated traffic environment based on deep r…

eess.SY2020★ 6 cited

The Cooperative Sorting Strategy for Connected and Automated Vehicle Platoons

Jiaming Wu, Soyoung Ah, Yang Zhou +2

This paper presents a "cooperative vehicle sorting" strategy that seeks to optimally sort connected and automated vehicles (CAVs) in a multi-lane platoon to reach an ideally organi…

cs.LG2019★ 6 cited

Platoon trajectories generation: A unidirectional interconnected LSTM-based car following model

Yangxin Lin, Ping Wang, Yang Zhou +3

Car following models have been widely applied and made remarkable achievements in traffic engineering. However, the traffic micro-simulation accuracy of car following models in a p…