Impact of interruption probability of the current optimal velocity on traffic stability for car-following model

被引:5
|
作者
Li, Xiaoqin [1 ]
Zhou, Yanyan [2 ]
Peng, Guanghan [3 ]
机构
[1] Hunan Univ Arts & Sci, Coll Math & Phys Sci, Changde 415000, Peoples R China
[2] Guilin Univ Elect Technol, Sch Mech & Elect Engn, Guilin 541004, Peoples R China
[3] Guangxi Normal Univ, Coll Phys Sci & Technol, Guilin 541004, Peoples R China
来源
基金
中国国家自然科学基金;
关键词
Optimal velocity model; numerical simulation; traffic interruption probability; JAMMING TRANSITION; DRIVERS ANTICIPATION; FLOW MODEL; DYNAMICS;
D O I
10.1142/S0129183122500413
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Traffic interruption is one of the important factors resulting in traffic jam. Therefore, a new optimal velocity model is established involving the traffic interruption probability for self-expected velocity. Linear stable condition and mKdV equation are deduced with regard to the self-interruption probability of the current optimal velocity from linear stable analysis and nonlinear analysis, respectively. Moreover, numerical simulation reveals that the traffic self-interruption probability of the current optimal velocity can increase traffic stability, which certifies that the traffic self-interruption probability of the current optimal velocity plays important influences on traffic system.
引用
收藏
页数:10
相关论文
共 50 条
  • [41] An improved car-following model considering the influence of optimal velocity for leading vehicle
    Liu Fangxun
    Cheng Rongjun
    Ge Hongxia
    Lo Siuming
    [J]. NONLINEAR DYNAMICS, 2016, 85 (03) : 1469 - 1478
  • [42] Car-following model with optimal velocity information of multiple-vehicle ahead
    An S.
    Xu L.
    Qian L.
    Chen G.
    [J]. Dongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Southeast University (Natural Science Edition), 2020, 50 (06): : 1156 - 1162
  • [43] Asymptotic Stability Analysis of Binary Heterogeneous Traffic Based on Car-Following Model
    Wang, Hao
    Wan, Qian
    Wang, Wei
    [J]. DISCRETE DYNAMICS IN NATURE AND SOCIETY, 2016, 2016
  • [44] TDGL and mKdV equations for car-following model considering traffic jerk and velocity difference
    Han Song
    Hongxia Ge
    Fuzhou Chen
    Rongjun Cheng
    [J]. Nonlinear Dynamics, 2017, 87 : 1809 - 1817
  • [45] TDGL and mKdV equations for car-following model considering traffic jerk and velocity difference
    Song, Han
    Ge, Hongxia
    Chen, Fuzhou
    Cheng, Rongjun
    [J]. NONLINEAR DYNAMICS, 2017, 87 (03) : 1809 - 1817
  • [46] Feedback control of traffic jam based on the full velocity difference car-following model
    Li, Yongfu
    Sun, Dihua
    Liu, Weining
    [J]. Journal of Information and Computational Science, 2012, 9 (03): : 719 - 730
  • [47] Stability analysis of the classical car-following model
    Zhang, XY
    Jarrett, DF
    [J]. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 1997, 31 (06) : 441 - 462
  • [48] Stability of the car-following model on two lanes
    Tang, TQ
    Huang, HJ
    Gao, ZY
    [J]. PHYSICAL REVIEW E, 2005, 72 (06):
  • [49] A simple stochastic car-following model for traffic flow
    Meng, Jian-ping
    Dong, Li-yun
    [J]. PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON NONLINEAR MECHANICS, 2007, : 1067 - 1070
  • [50] A behavioral car-following model that captures traffic oscillations
    Chen, Danjue
    Laval, Jorge
    Zheng, Zuduo
    Ahn, Soyoung
    [J]. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 2012, 46 (06) : 744 - 761