The impact of the density difference memory integral on traffic stability in two-lane lattice hydrodynamic model

被引：6
作者：
Liu, Changqing [1 ,2 ]
He, Yigang [1 ]
Peng, Guanghan [2 ]
机构：
[1] Hefei Univ Technol, Sch Elect Engn & Automat, Hefei 230009, Anhui, Peoples R China
[2] Hunan Univ Arts & Sci, Coll Math & Phys Sci, Changde 415000, Peoples R China
来源：
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS | 2019年 / 532卷
基金：
中国国家自然科学基金;
关键词：
Traffic flow; Numerical simulation; Lattice hydrodynamic model; CAR-FOLLOWING MODEL; EXTENDED CONTINUUM MODEL; JAMMING TRANSITION; FLOW MODEL; FEEDBACK-CONTROL; DRIVERS ANTICIPATION; RELATIVE VELOCITY; MKDV EQUATIONS; DYNAMICS; COST;
D O I：
10.1016/j.physa.2019.121750
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
The density difference memory integral (DDMI) term can be applied to describe traffic density information of the driver's historical memory during a continuous period of time. In this paper, a new lattice model is provided with the consideration of the DDMI effect for two-lane freeway. The linear stability condition of two lanes has been derived by considering the DDMI effect through linear stability theory, which shows that the DDMI effect can improve traffic stability under lane changing. According to the observation of simulation, the DDMI effect conduces to the stability of traffic flow for two-lane freeway. (C) 2019 Elsevier B.V. All rights reserved.
引用
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页数：6
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