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A forward-looking anticipative viscous high-order continuum model considering two leading vehicles for traffic flow through wireless V2X communication in autonomous and connected vehicle environment

机译:考虑到两辆领先的车辆,通过无线V2X通信在自主和连接的车辆环境中的无线V2X通信,前瞻性的预期粘性高阶连续体模型

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摘要

To evaluate the effects of anticipative driving behavior based on the motion information of two leading vehicles, we first propose a new car-following model which integrates space and velocity changes of two leading vehicles implemented through V2X wireless communication in autonomous and connected vehicles environment. We then derive a corresponding macroscopic viscous continuum traffic flow model, more realistic and meaningful than those coming directly from an analogy of Navier-Stokes equations as the new macroscopic model does not exhibit a wrong-way travel phenomenon. It is revealed that taking into account motion information of two leading vehicles leads to a viscosity parameter in macroscopic traffic flow equation. The viscosity parameter is proportional to a unique quantity, which is featured with two parameters: the delay time of vehicle motion and the kinematic wave velocity at jam density. Linear and nonlinear stability analysis using the method of perturbation is carried out to study traffic characteristics. (C) 2020 Elsevier B.V. All rights reserved.
机译:为了评估基于两个领先车辆的运动信息的预期驾驶行为的影响,我们首先提出了一种新的汽车之后模型,该模型集成了通过V2X无线通信中实现的两辆领先车辆的空间和速度变化在自主和连接的车辆环境中。然后我们得出了相应的宏观粘性连续体交通流量模型,比直接来自Navier-Stokes方程类别的那些更现实和有意义,因为新的宏观模型没有表现出错误的旅行现象。据透露,考虑到两辆领先车辆的运动信息导致宏观交通流量方程中的粘度参数。粘度参数与唯一的数量成比例,其具有两个参数:车辆运动的延迟时间和卡纸密度时的运动波速度。利用扰动方法进行线性和非线性稳定性分析,以研究交通特性。 (c)2020 Elsevier B.v.保留所有权利。

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