Effect of explicit lane changing in traffic lattice hydrodynamic model with interruption

被引:0
作者
Di-Hua Sun
Geng Zhang
Wei-Ning Liu
Min Zhao
Sen-Lin Cheng
Tong Zhou
机构
[1] Chongqing University,Key Laboratory of Dependable Service Computing in Cyber Physical Society of Ministry of Education
[2] Chongqing University,College of Automation
[3] Chongqing University,College of Computer Science
[4] Chongqing Vocational Institute of Engineering,School of Information Engineering
来源
Nonlinear Dynamics | 2016年 / 86卷
关键词
Traffic flow; Lattice hydrodynamic model; Lane changing effect; Traffic interruption; Burgers equation; mKdV equation;
D O I
暂无
中图分类号
学科分类号
摘要
In this paper, the explicit lane changing effect for two-lane traffic system with interruption is studied based on lattice hydrodynamic model. Through linear stability analysis, the neutral stability criterion for the two-lane traffic system is derived, and the density–sensitivity space is divided into the stable and unstable regions by the neutral stability curve. By applying nonlinear reductive perturbation method, the Burgers equation and modified Korteweg–de Vries (mKdV) equation are obtained to depict the density waves in the stable and unstable regions, respectively. Numerical simulations confirm the theoretical results showing that the traffic characteristics in the stable and unstable regions can be described respectively by the triangular shock waves of the Burgers equation and the kink–antikink solution of the mKdV equation. Also it is proved that lane changing can average the traffic situation of each lane for two-lane traffic system and enhance the stability of traffic flow, but traffic interruption of the current lattice can deteriorate the stable level of traffic flow and easily result in traffic congestion.
引用
收藏
页码:269 / 282
页数:13
相关论文
共 114 条
[1]  
Bando M(1995)Dynamical model of traffic congestion and numerical simulation Phys. Rev. E 51 1035-1042
[2]  
Hasebe K(2001)Full velocity difference model for a car-following theory Phys. Rev. E 64 017101-28
[3]  
Nakayama A(2011)Modeling and simulation for microscopic traffic flow based on multiple headway, velocity and acceleration difference Nonlinear Dyn. 66 15-229
[4]  
Shibata A(1992)A cellular automaton model for freeway traffic J. Phys. I 212-337
[5]  
Sugiyama Y(2014)A simple stochastic cellular automaton for synchronized traffic flow Phys. A 405 332-190
[6]  
Jiang R(2011)Cellular automata based traffic model that allows the cars to move with a small velocity during congestion Chaos Soliton Fract. 44 185-419
[7]  
Wu QS(2002)A new continuum model for traffic flow and numerical tests Trans. Res. B 36 405-559
[8]  
Zhu ZJ(2006)A new anisotropic continuum model for traffic flow Phys. A 368 551-85
[9]  
Li YF(2007)A new multi-class continuum model for traffic flow Transportmetrica 3 73-671
[10]  
Sun DH(2010)Nonlinear analysis of traffic jams in an anisotropic continuum model Chin. Phys. B 19 110503-3045