In this paper, we consider a kinetic description of follow-the-leader traffic models, which we use to study the effect of vehicle-wise driver-assist control strategies at various scales, from that of the local traffic up to that of the macroscopic stream of vehicles. We provide theoretical evidence of the fact that some typical control strategies, such as the alignment of the speeds and the optimisation of the time headways, impact on the local traffic features (for instance, the speed and headway dispersion responsible for local traffic instabilities) but have virtually no effect on the observable macroscopic traffic trends (for instance, the flux/throughput of vehicles). This unobvious conclusion, which is in very nice agreement with recent field studies on autonomous vehicles, suggests that the kinetic approach may be a valid tool for an organic multiscale investigation and possibly the design of driver-assist algorithms.

在本文中，我们考虑了跟随者交通模型的动力学描述，该模型用于研究从本地交通到宏观交通的各种规模的车辆驾驶员辅助控制策略的效果。车辆流。我们提供了以下事实的理论证据：某些典型的控制策略（例如速度的调整和行进时间的优化）会对本地交通特征产生影响（例如，造成本地交通不稳定的速度和行进距离）实际上对可观察的宏观交通趋势（例如，车辆的通量/吞吐量）没有影响。这个明显的结论与最近对自动驾驶汽车的现场研究非常吻合，