The Stability of Traffic Flow on Two Lanes Incorporating Drivers Characteristics Corresponding to Honk Effect Under V2X Environment

被引:1
|
作者
Peng, Guanghan [1 ]
Xia, Dongxue [2 ]
Yang, Shuhong [2 ]
机构
[1] Guangxi Normal Univ, Coll Phys Sci & Technol, Guilin 541004, Peoples R China
[2] Guangxi Univ Sci & Technol, Sch Comp Sci & Commun Engn, Liuzhou 545006, Peoples R China
来源
IEEE ACCESS | 2020年 / 8卷
基金
中国国家自然科学基金;
关键词
Lattice hydrodynamic model; driver's characteristics; traffic congestions; LATTICE HYDRODYNAMIC MODEL; MODIFIED KDV EQUATION; JAMMING TRANSITION; DENSITY DIFFERENCE; NONLINEAR-ANALYSIS; ANTICIPATION; DYNAMICS;
D O I
10.1109/ACCESS.2020.2985214
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, a new lattice model is proposed by considering the driver & x2019;s characteristics incorporating the timid and aggressive behaviors corresponding to honk effect under V2X environment for two-lane highway. The linear stability condition is obtained through linear stability analysis, which shows that the driver & x2019;s characteristics play important influences on traffic stability under honk environment in two-lane system. The important finding implies that the timid driver & x2019;s characteristics are more beneficial to increase the traffic stability than the aggressive one & x2019;s characteristics under honk environment for two-lane highway via numerical simulation.
引用
收藏
页码:73879 / 73889
页数:11
相关论文
共 50 条
  • [31] Modeling and optimal congestion control of multi-lane highway traffic with on-ramp and off-ramp under V2X environment
    Tian, Chuan
    Kang, Yirong
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2025, 661
  • [32] An extended car-following model considering the effect of driving prediction on headway and velocity variation under V2X environment
    Xie, Qing
    Liu, Tingting
    Kuang, Hua
    Bai, Kezhao
    Li, Xingli
    INTERNATIONAL JOURNAL OF MODERN PHYSICS C, 2025,
  • [33] Energy consumption in a new lattice hydrodynamic model based on the delayed effect of collaborative information transmission under V2X environment
    Peng, Guanghan
    Jia, Teti
    Kuang, Hua
    Tan, Huili
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2022, 585
  • [34] Traffic flow control method of road intersections based on v2x and vehicle-road-cloud technology
    Liu H.M.
    Advances in Transportation Studies, 2021, 2021 (Special Issue 3): : 83 - 94
  • [35] Dissipation Characteristics of Vehicle Queue in V2X Environment Based on Improved Car-Following Model
    Xu, Wei
    Li, Nan
    Liang, Wenli
    Liu, Haiqing
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2022, 2022
  • [36] A Terminal-Oriented Distributed Traffic Flow Splitting Strategy for Multi-Service of V2X Networks
    Ding, Fei
    Ma, Zitong
    Li, Zhiliang
    Su, Ruoyu
    Zhang, Dengyin
    Zhu, Hongbo
    ELECTRONICS, 2019, 8 (06):
  • [37] A novel lattice model integrating the cooperative deviation of density and optimal flux under V2X environment
    Peng, Guang-Han
    Luo, Chun-Li
    Zhao, Hong-Zhuan
    Tan, Hui-Li
    CHINESE PHYSICS B, 2023, 32 (01)
  • [38] Automatic incident detection in smart city using multiple traffic flow parameters via V2X communication
    Iqbal, Zafar
    Khan, Majid Iqbal
    INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2018, 14 (11)
  • [39] Impact of driving prediction on headway and velocity in car-following model under V2X environment
    Yadav, Sunita
    Redhu, Poonam
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2024, 635
  • [40] A novel lattice model integrating the cooperative deviation of density and optimal flux under V2X environment
    彭光含
    罗春莉
    赵红专
    谭惠丽
    Chinese Physics B, 2023, 32 (01) : 716 - 723