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

被引：21

作者：

Sun, Lu ^{[1
]}

Jafaripournimchahi, Ammar ^{[2
]}

Hub, Wusheng ^{[2
]}

机构：

[1] Univ Maryland, A James Clark Sch Engn, College Pk, MD 20742 USA

[2] Southeast Univ, Sch Transportat Engn, Nanjing 210096, Peoples R China

来源：

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS | 2020年 / 556卷

基金：

中国国家自然科学基金; 美国国家科学基金会;

关键词：

Wireless V2X communication; Autonomous and connected vehicles; Car-following model; Continuum traffic flow model; Anticipation; Viscosity; CAR-FOLLOWING MODEL; LATTICE HYDRODYNAMIC MODEL; VELOCITY DIFFERENCE MODEL; CELLULAR-AUTOMATON MODEL; FLUX CHANGE RATE; LINEAR-STABILITY; FEEDBACK-CONTROL; DYNAMICAL MODEL; SPEED; INFORMATION;

D O I：

10.1016/j.physa.2020.124589

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

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.

引用

页数：13