Stabilizing traffic flow via a single autonomous vehicle: Possibilities and limitations

Shumo Cui, Benjamin Seibold, Raphael E. Stern, D. Work
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引用次数: 125

Abstract

In certain flow regimes, the ideal uniform vehicle flow on the road is unstable, and stop-and-go traffic develops. The instability that leads to this less fuel-efficient unsteady flow results from the collective behavior of all human drivers. This work studies under which circumstances the presence of a single autonomous vehicle (AV) can locally stabilize the flow, without changing the way the humans drive. If possible, this can enable traffic flow control via very few AVs serving as mobile actuators. First, the analysis of car-following models reveals that in idealized conditions (no system noise), the flow can in fact be made linearly stable by means of a low fraction of control vehicles. Second, we highlight the fundamental limitations of this sparse control when considering models with noise.
通过一辆自动驾驶汽车来稳定交通流量:可能性和局限性
在一定的流态下,理想的均匀车流在道路上是不稳定的,出现走走停停的交通现象。导致这种燃油效率较低的不稳定流动的不稳定性源于所有人类驾驶员的集体行为。这项工作研究的是,在不改变人类驾驶方式的情况下,在何种情况下,一辆自动驾驶汽车(AV)可以局部稳定交通流量。如果可能的话,这可以通过很少的自动驾驶汽车作为移动执行器来实现交通流量控制。首先,对汽车跟随模型的分析表明,在理想条件下(无系统噪声),实际上可以通过低比例的控制车辆使流量线性稳定。其次,在考虑带有噪声的模型时,我们强调了这种稀疏控制的基本局限性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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