A Review on Cooperative Adaptive Cruise Control (CACC) Systems: Architectures, Controls, and Applications

被引：0

作者：

Wang, Ziran ^{[1
]}

Wu, Guoyuan ^{[2
]}

Barth, Matthew J. ^{[2
]}

机构：

[1] Univ Calif Riverside, CE CERT, Coll Engn, Dept Mech Engn, Riverside, CA 92507 USA

[2] Univ Calif Riverside, CE CERT, Coll Engn, Dept Elect & Comp Engn, Riverside, CA 92507 USA

来源：

2018 21ST INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC) | 2018年

关键词：

MODEL-PREDICTIVE CONTROL; RECEDING HORIZON CONTROL; MULTIAGENT SYSTEMS; EXPERIMENTAL VALIDATION; 2ND-ORDER CONSENSUS; PLATOON; VEHICLES; DESIGN; AGENTS; FLOW;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Connected and automated vehicles (CAVs) have the potential to address the safety, mobility and sustainability issues of our current transportation systems. Cooperative adaptive cruise control (CACC), for example, is one promising technology to allow CAVs to be driven in a cooperative manner and introduces system-wide benefits. In this paper, we review the progress achieved by researchers worldwide regarding different aspects of CACC systems. Literature of CACC system architectures are reviewed, which explain how this system works from a higher level. Different control methodologies and their related issues are reviewed to introduce CACC systems from a lower level. Applications of CACC technology are demonstrated with detailed literature, which draw an overall landscape of CACC, point out current opportunities and challenges, and anticipate its development in the near future.

引用

页码：2884 / 2891

页数：8

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