Stability Analysis of Car-Following Model with Uncertainty in Perceiving Velocity

被引：1

作者：

Zhang, Geng ^{[1
,2
]}

Sun, Dihua ^{[1
,2
]}

Zhao, Min ^{[1
,2
]}

Liu, Hui ^{[1
,2
]}

Chen, Dong ^{[1
,2
]}

Li, Yang ^{[1
,2
]}

机构：

[1] Chongqing Univ, Minist Educ, Key Lab Dependable Serv Comp Cyber Phys Soc, Chongqing 400044, Peoples R China

[2] Chongqing Univ, Coll Automat, Chongqing 400044, Peoples R China

来源：

INFORMATION TECHNOLOGY AND INTELLIGENT TRANSPORTATION SYSTEMS, VOL 1 | 2017年 / 454卷

基金：

高等学校博士学科点专项科研基金; 中国国家自然科学基金;

关键词：

Traffic flow; Car-following model; Uncertainty; Linear stability analysis; REACTION-TIME DELAY; DYNAMICAL MODEL;

D O I：

10.1007/978-3-319-38789-5_50

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

To reveal the impact of uncertain traffic information on traffic flow, a new car-following model with consideration of uncertainty in perceiving velocity is proposed. The linear stability criterion of the new model is derived through linear stability theory and it shows that the stable region for a small perceived velocity of the preceding vehicle is larger than that for a large perceived velocity of the preceding vehicle. Numerical simulation is in good agreement with the analytical results, which reveals that the uncertain traffic information would influence the stability of traffic flow importantly.

引用

页码：409 / 415

页数：7

共 14 条

[1] DYNAMICAL MODEL OF TRAFFIC CONGESTION AND NUMERICAL-SIMULATION [J].