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MACROSCOPIC MODELING OF MULTILANE MOTORWAYS USING A TWO-DIMENSIONAL SECOND-ORDER MODEL OF TRAFFIC FLOW

机译:利用二维二阶交通流量模型多膜高速公路宏观建模

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摘要

Lane changing is one of the most common maneuvers on motorways. Although macroscopic traffic models are well known for their suitability to describe fast moving crowded traffic, most of these models are generally developed in a one-dimensional framework; henceforth lane-changing behavior is either not explicitly modeled or is explicitly forbidden. In this paper, we propose a macroscopic model which accounts for lane-changing behavior on motorways, based on a two-dimensional extension of the Aw and Rascle [SIAM J. Appl. Math., 60 (2000), pp. 916-938] and Zhang [Transport. Res. B-Meth., 36 (2002), pp. 275-290] macroscopic model for traffic flow. Under conditions when lane-changing maneuvers are no longer possible, the model "relaxes" to the one-dimensional Aw-Rascle-Zhang model. Following the same approach as in [SIAM J. Appl. Math., 63 (2002), pp. 259-278], we derive the two-dimensional macroscopic model through scaling of time discretization of a microscopic follow-the-leader model with driving direction. We provide a detailed analysis of the space-time discretization of the proposed macroscopic model as well as an approximation of the solution to the associated Riemann problem. Furthermore, we illustrate some promising features of the proposed model through some numerical experiments.
机译:Lane Changing是高速公路上最常见的演习之一。虽然宏观交通模型是众所周知的,但它们适合描述快速移动拥挤的交通,但大多数这些模型通常在一维框架中开发;此后,改变车道改变行为不明确建模或明确禁止。在本文中,我们提出了一种宏观模型,其基于AW和Rascle的二维延伸,基于高速公路的车道变化行为[Siam J. Appl。数学。,60(2000),pp。916-938]和张[运输。 res。 B-Meth。,36(2002),PP。275-290]宏观模型进行交通流量。在不再可能不再可能的情况下,型号“放松”到一维AW-Rascle-Zhang模型。遵循与[Siam J. Appl中相同的方法。数学。,63(2002),第259-278页,我们通过缩放具有驱动方向的微观跟随领导模型的时间离散化来得出二维宏观模型。我们提供了对所提出的宏观模型的时空离散化的详细分析,以及对相关的riemann问题的解决方案的近似。此外,我们通过一些数值实验说明了所提出的模型的一些有希望的特征。

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