Adaptive Cruise Control (ACC) systems are becoming increasingly available as a standard equipment in modern commercial vehicles. Their penetration rate in the fleet is constantly increasing, as well as their use, especially under freeway conditions. At the same time, limited information is openly available on how these systems actually operate and their differences depending on the vehicle manufacturer or model. This represents an important gap because as the number of ACC vehicles on the road increases, traffic dynamics on freeways may change accordingly, and new collective phenomena, which are only marginally known at present, could emerge. Yet, as ACC systems are introduced as comfort options and their operation is entirely under the responsibility of the driver, vehicle manufacturers do not have explicit requirements to fulfill nor they have to provide any evidence about their performances. As a result, any safety implication connected to their interactions with other road users escapes any monitoring and opportunity of improvement.

This work presents a set of experimental car-following campaigns, providing an overview of the behavior of commercial ACC systems under different driving conditions. Furthermore, the suggestion of a unified data structure across the different tests facilitates comparison between the different campaigns, vehicles, systems and specifications. The complete data is published as an open-access database (OpenACC), available to the research community. As more test campaigns will be carried out, OpenACC will evolve accordingly.

The activity is performed in the framework of the openData policy of the European Commission Joint Research Centre with the objective to engage the whole scientific community towards a better understanding of the properties of ACC vehicles in view of anticipating their possible impacts on traffic flow and prevent possible problems connected to their widespread introduction. In this light, OpenACC, over time, also aims at becoming a reference point to study if and how the parameters of such systems need to be regulated, how homogeneously they behave, how new ACC car-following models should be designed for traffic microsimulation purposes and what are the key differences between ACC systems and human drivers.

自适应巡航控制（ACC）系统正越来越多地用作现代商用车的标准设备。它们在车队中的渗透率和使用率不断提高，尤其是在高速公路条件下。同时，对于这些系统的实际运行方式以及根据车辆制造商或型号的不同，公开信息非常有限。这是一个重要的差距，因为随着道路上ACC车辆数量的增加，高速公路上的交通动态可能会发生相应的变化，并且可能会出现目前仅鲜为人知的新的集体现象。但是，由于ACC系统作为舒适性选项而引入，其操作完全由驾驶员负责，汽车制造商没有明确的要求可以满足，也不必提供有关其性能的任何证据。结果，与他们与其他道路使用者的互动相关的任何安全隐患都无法进行任何监控和改进机会。

这项工作提出了一组实验性的汽车跟踪运动，概述了商业ACC系统在不同驾驶条件下的行为。此外，建议在不同的测试之间使用统一的数据结构，这有助于比较不同的战役，车辆，系统和规格。完整的数据以开放访问数据库（OpenACC）的形式发布，可供研究团体使用。随着更多测试活动的开展，OpenACC将相应发展。

这项活动是在欧盟委员会联合研究中心的开放数据政策框架内进行的，目的是让整个科学界更好地了解ACC车辆的特性，以期预测它们对交通流量的可能影响并预防与它们的广泛介绍有关的问题。因此，随着时间的流逝，OpenACC还旨在成为参考点，以研究是否需要以及如何调节此类系统的参数，其行为如何均匀性以及如何为交通微仿真目的设计新的ACC汽车跟踪模型ACC系统和驾驶员之间的主要区别是什么？