Connected and automated vehicle (CAV) technologies have been developed to improve traffic safety, mobility, and environmental impacts throughout the years. One of the enabling CAV technologies is the lane-changing function, which has attracted much attention from both industry and academia in recent years. This paper provides an overview of representative studies on CAV lane-changing models, algorithms, traffic impact analyses as well as testing experiments. Several crucial concepts, such as vehicle-to-vehicle (V2V) communication, lane-changing decision and planning, and vehicle control algorithms are focus of this review. Overall, despite existing successful studies on CAV lane changing, research gaps between state-of-the-art technologies and real-world CAV applications are identified in the hope of facilitating future research in this direction.

中文翻译：

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联网和自动车辆的变道机动回顾：模型、算法和交通影响分析

多年来，联网和自动驾驶汽车 (CAV) 技术的开发旨在改善交通安全、机动性和环境影响。使能 CAV 技术之一是变道功能，近年来受到了工业界和学术界的广泛关注。本文概述了 CAV 换道模型、算法、交通影响分析以及测试实验的代表性研究。几个关键概念，例如车对车 (V2V) 通信、变道决策和规划以及车辆控制算法是本次审查的重点。总体而言，尽管已有关于 CAV 车道变换的成功研究，但仍确定了最先进技术与实际 CAV 应用之间的研究差距，以期促进该方向的未来研究。