Nonlinear analysis of an improved continuum model considering mean-field velocity difference

被引:27
|
作者
Wang, Zihao [1 ,2 ,3 ]
Cheng, Rongjun [1 ,2 ,3 ]
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, Subctr, 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; KdV equation; Mean-field velocity difference; FVD model; CAR-FOLLOWING MODEL; TRAFFIC FLOW MODEL; DRIVERS BOUNDED RATIONALITY; LATTICE HYDRODYNAMIC MODEL; KDV-BURGERS EQUATION; MKDV EQUATIONS; JAMMING TRANSITION; DYNAMICAL MODEL; TDGL; ANTICIPATION;
D O I
10.1016/j.physleta.2019.01.011
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
Based on the velocity gradient model, an extended continuum model with consideration of the mean-field velocity difference is proposed in this paper. By using the linear stability theory, the linear stability criterion of the new model is gained, which proved that mean-field velocity difference has significant influence on stability of traffic flow. The KdV-Burgers equation is derived by using non-linear analysis method and the evolution of density wave near the neutral stability line is explored. Numerical simulations are carried out how mean-field velocity difference affect the stability of traffic flow, and energy consumption is also studied for this new macro model. At the same time, complicated traffic phenomena such as local cluster effects, shock waves and rarefaction waves can be reproduced in the new model by numerical simulation. Numerical results are consistent with the theoretical analysis, which indicates that the mean-field velocity difference not only suppresses traffic jam, but also depresses energy consumption. (C) 2019 Elsevier B.V. All rights reserved.
引用
收藏
页码:622 / 629
页数:8
相关论文
共 50 条
  • [41] Stationary fully nonlinear mean-field games
    Andrade, Pedra D. S.
    Pimentel, Edgard A.
    JOURNAL D ANALYSE MATHEMATIQUE, 2021, 145 (01): : 335 - 356
  • [42] Stationary fully nonlinear mean-field games
    Pêdra D. S. Andrade
    Edgard A. Pimentel
    Journal d'Analyse Mathématique, 2021, 145 : 335 - 356
  • [43] MAGNETIC RECORDING SIMULATION CONSIDERING MEAN-FIELD INTERACTION
    TAGAWA, I
    NAKAMURA, Y
    IEEE TRANSACTIONS ON MAGNETICS, 1993, 29 (06) : 3981 - 3983
  • [44] Conservative Difference Schemes for the Computation of Mean-field Equilibria
    Shaydurov, V.
    Zhang, S.
    Karepova, E.
    APPLICATION OF MATHEMATICS IN TECHNICAL AND NATURAL SCIENCES, 2017, 1895
  • [45] Analysis of the Refined Mean-Field Approximation for the 802.11 Protocol Model
    Ispizua, Begona
    Doncel, Josu
    SENSORS, 2022, 22 (22)
  • [46] Bifurcation Analysis of a Heterogeneous Mean-Field Oscillator Game Model
    Yin, Huibing
    Mehta, Prashant G.
    Meyn, Sean P.
    Shanbhag, Uday V.
    2011 50TH IEEE CONFERENCE ON DECISION AND CONTROL AND EUROPEAN CONTROL CONFERENCE (CDC-ECC), 2011, : 3895 - 3900
  • [47] Mean-Field Analysis of the q-Voter Model on Networks
    Paolo Moretti
    Suyu Liu
    Claudio Castellano
    Romualdo Pastor-Satorras
    Journal of Statistical Physics, 2013, 151 : 113 - 130
  • [48] A Mean-Field Analysis of a Network Behavioral-Epidemic Model
    Frieswijk, Kathinka
    Zino, Lorenzo
    Ye, Mengbin
    Rizzo, Alessandro
    Cao, Ming
    IEEE CONTROL SYSTEMS LETTERS, 2022, 6 : 2533 - 2538
  • [49] A mean-field analysis of the simple model of evolving open systems
    Shimada, Takashi
    29TH WORKSHOP ON RECENT DEVELOPMENTS IN COMPUTER SIMULATION STUDIES IN CONDENSED MATTER PHYSICS, 2016, 750
  • [50] Mean-field analysis of the three-band Hubbard model
    Yu, YB
    Cao, GH
    Jiao, ZK
    INTERNATIONAL JOURNAL OF MODERN PHYSICS B, 1998, 12 (27-28): : 2831 - 2845