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首页> 外文期刊>Physical review, E. Statistical physics, plasmas, fluids, and related interdisciplinary topics >Traveling waves in an optimal velocity model of freeway traffic - art. no. 036107
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Traveling waves in an optimal velocity model of freeway traffic - art. no. 036107

机译:高速公路交通最佳速度模型中的行波-艺术。没有。 036107

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摘要

Car-following models provide both a tool to describe traffic Row and algorithms for autonomous cruise control systems. Recently developed optimal velocity models contain a relaxation term that assigns a desirable speed to each headway and a response time over which drivers adjust to optimal velocity conditions. These models predict traffic breakdown phenomena analogous to real traffic instabilities. In order to deepen our understanding of these models, in this paper, we examine the transition from a linear stable stream of cars of one headway into a linear stable stream of a second headway. Numerical results of the governing equations identify a range of transition phenomena, including monotonic and oscillating travelling waves and a time-dependent dispersive adjustment wave. However, for certain conditions, we find that the adjustment takes the form of a nonlinear traveling wave From the upstream headway to a third, intermediate headway, followed by either another traveling wave or a dispersive wave further downstream matching the downstream headway. This intermediate value of the headway is selected such that the nonlinear traveling wave is the fastest stable traveling wave which is observed to develop in the numerical calculations. The development of these nonlinear waves, connecting linear stable flows of two different headways, is somewhat reminiscent of stop-start waves in congested flow on freeways. The different types of adjustments are classified in a phase diagram depending on the upstream and downstream headway and the response time of the model. The results have profound consequences fur autonomous cruise control systems. For an autocade of both identical and different vehicles, the control system itself may trigger formations of nonlinear, steep wave transitions. Further information is available [Y. Sugiyama, Traffic and Granular Flow (World Scientific, Singapore, 1995), p. 137]. [References: 10]
机译:跟车模型既提供了描述行距的工具,又提供了自动巡航控制系统的算法。最近开发的最佳速度模型包含一个松弛项,该松弛项为每个行驶距离分配了所需的速度,并在响应时间上驾驶员调整为最佳速度条件。这些模型预测类似于实际交通不稳定性的交通故障现象。为了加深我们对这些模型的理解,在本文中,我们研究了从一个时速车厢的线性稳定流向第二个时速车厢的线性稳定流的过渡。控制方程的数值结果确定了一系列过渡现象,包括单调和振荡行波以及随时间变化的色散调整波。但是,在某些情况下,我们发现调整采取的形式为非线性行波,即从上游车头到第三中间车头,然后是另一个行进波或与下游车头相匹配的色散波。选择车距的中间值,以使非线性行波是最快的稳定行波,在数值计算中观察到它正在发展。这些非线性波的发展,连接了两个不同车头的线性稳定流,在某种程度上让人想起高速公路拥堵流中的启停波。根据上游和下游的前进距离以及模型的响应时间,将不同类型的调整分为一个阶段图。结果对自主巡航控制系统具有深远的影响。对于相同和不同车辆的自动驾驶,控制系统本身可能会触发非线性陡峭波跃迁的形成。可获得更多信息[是。 Sugiyama,《交通与颗粒流》(世界科学,新加坡,1995年),第1页。 137]。 [参考:10]

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