Analysis of a novel lattice hydrodynamic model considering predictive effect and flow integral

被引:21
作者
Wang, Ting [1 ,2 ,3 ]
Cheng, Rongjun [1 ]
Ge, Hongxia [1 ,2 ,3 ]
机构
[1] Ningbo Univ, Fac Maritime & Transportat, Ningbo 315211, Zhejiang, Peoples R China
[2] Jiangsu Prov Collaborat Innovat Ctr Modern Urban, Nanjing 210096, Jiangsu, Peoples R China
[3] Ningbo Univ, Sub Ctr, Natl Traff Management Engn & Technol Res Ctr, Ningbo 315211, Zhejiang, Peoples R China
基金
中国国家自然科学基金;
关键词
Traffic flow; Lattice hydrodynamic model; Predictive effect; Flow integral; DRIVERS BOUNDED RATIONALITY; CAR-FOLLOWING MODEL; VELOCITY DIFFERENCE MODEL; EXTENDED CONTINUUM MODEL; DELAYED-FEEDBACK-CONTROL; TRAFFIC FLOW; DENSITY DIFFERENCE; CELLULAR-AUTOMATON; STABILITY ANALYSIS; RELATIVE VELOCITY;
D O I
10.1016/j.physa.2019.121425
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
By taking the predictive effect and flow integral into consideration, we propose an improved lattice hydrodynamic model. Firstly, we apply linear stability analysis to acquire the linear stability condition, which can be used to explain the influence of predictive effect and flow integral on traffic flow stability. After that, the modified Korteweg-de Vries (mKdV) equation is derived through the nonlinear theory, which demonstrates that the solution of mKdV equation can describe traffic jams. Besides, the kink-antikink soliton wave is obtained through solving the mKdV equation, which can describe the propagation characteristics of the traffic density waves. Furthermore, we try to explore how predictive effect and flow integral influence the stability of traffic flow through numerical simulations. Finally, we find that the stability of traffic flow can be efficiently improved with the consideration of the two factors by observing and analyzing the numerical results. (C) 2019 Elsevier B.V. All rights reserved.
引用
收藏
页数:10
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