Adaptive Cruise Control (ACC) is one of Advanced Driver Assistance Systems (ADAS) which takes over vehicle longitudinal control under necessary driving scenarios. Vehicle in ACC mode automatically adjusts speed to follow the preceding vehicle based on evaluation of the surrounding traffic. ACC reduces drivers’ workload as well as improves driving safety, energy economy, and traffic flow. This article provides a comprehensive review of the researches on ACC. Firstly, an overview of ACC controller and applied control theories are introduced. Their principles and performances are discussed. Secondly, several application cases of ACC control algorithms are presented. Then validation work including simulation, Hardware-in-the-Loop (HiL) test and on-road experiment is descripted to provide ideas for testing ACC systems for different aims and fidelities. In addition, studies on human-machine interaction are also summarized in this review to provide insights on development of ACC from the perspective of users. At last, challenges and potential directions in this field is discussed, including consideration of vehicle dynamics properties, contradiction between algorithm performance and computation as well as integration of ACC to other intelligent functions on vehicles.

自适应巡航控制（ACC）是高级驾驶员辅助系统（ADAS）之一，可在必要的驾驶场景下接管车辆纵向控制。处于ACC模式的车辆会根据对周围交通的评估，自动将速度调整为跟随前一辆车辆。ACC减少了驾驶员的工作量，并改善了驾驶安全性，能源经济性和交通流量。本文对ACC的研究进行了全面综述。首先，对ACC控制器及其应用控制理论进行了概述。讨论了它们的原理和性能。其次，介绍了ACC控制算法的几种应用案例。然后描述了包括仿真，在环硬件（HiL）测试和道路实验在内的验证工作，从而为针对不同目标和保真度的ACC系统测试提供了思路。此外，本文还对人机交互的研究进行了总结，以从用户的角度对ACC的发展提供见解。最后，讨论了该领域的挑战和潜在方向，包括考虑车辆动力学特性，算法性能与计算之间的矛盾以及将ACC集成到车辆上的其他智能功能上。