The impact of self-stabilization on traffic stability considering the current lattice's historic flux for two-lane freeway

被引:21
|
作者
Peng, Guanghan [1 ,2 ]
Zhao, Hongzhuan [3 ]
Li, Xiaoqin [1 ]
机构
[1] Hunan Univ Arts & Sci, Coll Phys & Elect, Changde 415000, Peoples R China
[2] Guangxi Normal Univ, Coll Phys Sci & Technol, Guilin 541004, Peoples R China
[3] Guilin Univ Elect Technol, Coll Architecture & Transportat Engn, Guilin 541004, Peoples R China
基金
中国国家自然科学基金;
关键词
Traffic flow; Lattice hydrodynamic model; Self-stabilization effect; Nonlinear analysis; VELOCITY DIFFERENCE MODEL; CAR-FOLLOWING MODEL; HYDRODYNAMIC MODEL; CONTINUUM MODEL; JAMMING TRANSITIONS; MKDV EQUATIONS; FLOW MODEL; TDGL; JERK;
D O I
10.1016/j.physa.2018.09.173
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
Self-stabilization effect reflects the adaptive change of the current lattice in traffic flow. To improve traffic flow, a new self-stabilization term in this paper is inserted into lattice hydrodynamic model for two-lane freeway. It is shown that the self-stabilization effect can increase traffic stability on two lanes whether lane changing occurs or not according to linear stability analysis. In view of numerical simulation, the self-stabilization effect enhances the stability of the traffic flow in the modified lattice hydrodynamic model for two-lane freeway. (C) 2018 Elsevier B.V. All rights reserved.
引用
收藏
页码:31 / 37
页数:7
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