Nonlinear Analysis of a Hybrid Optimal Velocity Model with Relative Velocity for Traffic Flow

被引：0

作者：

Liu, Tao ^{[1
]}

Jia, Lei ^{[2
]}

机构：

[1] Shandong Inst Light Ind, Coll Elect Informat & Control Engn, Jinan, Shandong, Peoples R China

[2] Shandong Univ, Sch Control Sci & Engn, Jinan, Peoples R China

来源：

ARTIFICIAL INTELLIGENCE AND COMPUTATIONAL INTELLIGENCE, AICI 2010, PT II | 2010年 / 6320卷

基金：

中国国家自然科学基金;

关键词：

optimal velocity model; relative velocity; nonlinear analysis; CAR-FOLLOWING MODEL; CONGESTION; STABILITY;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

An extension of an optimal velocity model with the relative velocity is analyzed. From the nonlinear analysis, the propagating kink solution for traffic jams is obtained. The fundamental diagram and the relation between the headway and the delay time are examined by numerical simulation. We find that the result from the nonlinear analysis is in good agreement with that obtained from the numerical simulation.

引用

页码：58 / 63

页数：6

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