Connected and Automated Vehicle Distributed Control for On-ramp Merging Scenario: A Virtual Rotation Approach
Tianyi Chen, Meng Wang, Siyuan Gong, Yang Zhou, Bin Ran

TL;DR
This paper introduces a virtual rotation-based distributed control strategy for connected automated vehicles in on-ramp merging, reducing complexity and ensuring safety and traffic efficiency through novel control and stability analysis.
Contribution
It proposes a virtual rotation approach and a multi-predecessor virtual car-following model for merging control, extending to curvilinear ramps with lateral control, and proves string stability.
Findings
Reduces merging voids and improves traffic flow
Ensures string stability to prevent traffic oscillations
Demonstrates effectiveness through numerical simulations
Abstract
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 ramp line are straight, we firstly design a virtual rotation approach that transfers the merging problem to a virtual car following (CF) problem to reduce the complexity and dimension of the cooperative CAVs merging control. Based on this concept, a multiple-predecessor virtual CF model and a unidirectional multi-leader communication topology are developed to determine the longitudinal behavior of each CAV. Specifically, we exploit a distributed feedback and feedforward longitudinal controller in preparation for actively generating gaps for merging CAVs, reducing the voids caused by merging, and ensuring safety and traffic efficiency during the process. To ensure the disturbance attenuation property of this…
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