Connected and automated vehicle distributed control for on-ramp merging scenario: A virtual rotation approach
Connected and automated vehicle distributed control for on-ramp merging scenario: A virtual rotation approach
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用于入口匝道合并场景的联网自动车辆分布式控制：虚拟旋转方法
DOI：
10.1016/j.trc.2021.103451
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发表时间：
2021-03
影响因子：
8.3
通讯作者：
Bin Ran
中科院分区：
文献类型：
--
作者：
Chen Tianyi;Meng Wang;Siyuan Gong;Yang Zhou;Bin Ran
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 system, practical string stability is mathematically proved for the virtual CF controllers to prohibit the traffic oscillation amplification through the traffic stream. Moreover, as a provision for extending the virtual CF application scenarios of any curvy ramp geometry, we utilize a curvilinear coordinate to model the two-dimensional merging control, and further design a local lateral controller based on an extended linear-quadratic regulator to regulate the position deviation and angular deviation of the lane centerlines. For the purpose of systematically evaluating the control performance of the proposed methods, numerical simulation experiments are conducted. As the results indicate, the proposed controllers can actively reduce the void and meanwhile guarantee the damping of traffic oscillations in the merging control area.
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影响因子：
6.8
作者：
Zuduo Zheng;Soyoung Ahn;Danjue Chen;Jorge A. Laval
通讯作者：
Zuduo Zheng;Soyoung Ahn;Danjue Chen;Jorge A. Laval
DOI：
10.1109/mmar.2010.5587268
发表时间：
2010-09
期刊：
2010 15th International Conference on Methods and Models in Automation and Robotics
影响因子：
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作者：
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D. Necsulescu;Elisha Pruner;J. Sasiadek;Bumsoo Kim
DOI：
10.23919/acc.2017.7963246
发表时间：
2017-05
期刊：
2017 American Control Conference (ACC)
影响因子：
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作者：
S. Darbha;Shyamprasad Konduri;P. Pagilla
通讯作者：
S. Darbha;Shyamprasad Konduri;P. Pagilla
DOI：
10.1016/j.trpro.2019.05.024
发表时间：
2020-02
期刊：
Transportation Research Part B: Methodological
影响因子：
--
作者：
Yang Zhou;Soyoung Ahn;Meng Wang;S. Hoogendoorn
通讯作者：
Yang Zhou;Soyoung Ahn;Meng Wang;S. Hoogendoorn
DOI：
10.1016/j.trc.2019.03.002
发表时间：
2019-05
期刊：
Transportation Research Part C: Emerging Technologies
影响因子：
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作者：
Bian Yougang;Yang Zheng;W. Ren;S. Li;Jianqiang Wang;Keqiang Li
通讯作者：
Bian Yougang;Yang Zheng;W. Ren;S. Li;Jianqiang Wang;Keqiang Li