A novel car following model considering average speed of preceding vehicles group

被引：54
作者：
Sun, Dihua [1 ,2 ]
Kang, Yirong [1 ]
Yang, Shuhong [3 ]
机构：
[1] Chongqing Univ, Minist Educ, Cyber Phys Soc, Key Lab Dependable Serv Comp, Chongqing 400030, Peoples R China
[2] Chongqing Univ, Coll Automat, Chongqing 400044, Peoples R China
[3] Guangxi Univ Sci & Technol, Sch Comp, Liuzhou 545006, Peoples R China
来源：
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS | 2015年 / 436卷
关键词：
Car-following model; Average speed; CPS; MKdV equation; DIFFERENCE MODEL; DYNAMICAL MODEL; TRAFFIC FLOW;
D O I：
10.1016/j.physa.2015.04.028
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
In this paper, a new car following model is presented by considering the average speed effect of preceding vehicles group in cyber-physical systems (CPS) environment. The effect of this new consideration upon the stability of traffic flow is examined through linear stability analysis. A modified Korteweg-de Vries (mKdV) equation was derived via nonlinear analysis to describe the propagating behavior of traffic density wave near the critical point. Good agreement between the simulation and the analytical results shows that average speed of preceding vehicles group leads to the stabilization of traffic systems, and thus can efficiently suppress the emergence of traffic jamming. (C) 2015 Elsevier B.V. All rights reserved.
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页码：103 / 109
页数：7
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