交通拥堵:模型、成本和最优交通

Chinmoy Mandayam, B. Prabhakar
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引用次数: 8

摘要

我们开发了两种高速公路交通模型:(i)基于先前工作的守恒定律的确定性流体模型和(ii)一系列无限服务器队列的平均场模型,其中串联中的每个阶段建模一段高速公路。这些模型定义了“公路地图”——将车辆到达公路的时变到达率函数转换为车辆离开公路的相应离开率函数。这两个模型是等效的,因为它们得到的是相同的公路地图。车辆穿越高速公路的拥堵成本是由于拥堵而在高速公路上花费的额外时间的总和。这个成本被显示为等于高速公路地图的输入和输出速率度量之间的“d条”距离。这一事实被用来制定一个凸优化问题,以确定使用激励将用户从高峰时间转移到非高峰时间的最佳方法,从而降低拥堵成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Traffic congestion: models, costs and optimal transport
We develop two models of highway traffic: (i) a deterministic fluid model based on conservation laws building on previous work and (ii) a mean-field model of a series of infinite server queues, where each stage in the tandem models a segment of highway. The models define the ``highway-map''---a transformation of time-varying arrival rate functions according to which vehicles arrive at the highway to the corresponding departure rate functions of vehicles exiting the highway. The two models are shown to be equivalent in that they obtain the same highway-map. The cost of congestion for vehicles traversing the highway is the total extra time they spend on the highway due to congestion. This cost is shown to be equal to the ``d-bar'' distance between the input and the output rate measures of the highway-map. This fact is used to formulate a convex optimization problem for determining the optimal way to shift users from peak to off-peak hours using incentives so that congestion costs are lowered.
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