String Stability Analysis of Connected Vehicular Systems Based on Car-Following Mode

被引:13
|
作者
Li, Shuqing [1 ]
Qin, Yanyan [1 ]
He, Zhengbing [2 ]
机构
[1] Chongqing Jiaotong Univ, Sch Traff & Transportat, Xuefu Rd 66, Chongqing 400074, Peoples R China
[2] Beijing Univ Technol, Beijing Key Lab Traff Engn, Pingleyuan 100, Beijing 100024, Peoples R China
关键词
String stability; Cooperative adaptive cruise control (CACC); Mixed traffic flow; Car-following model; ADAPTIVE CRUISE CONTROL; VEHICLE SYSTEMS; CACC; FLOW; DYNAMICS; IMPACT; ACC;
D O I
10.1061/JTEPBS.0000551
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
String stability analysis is one of key factors to understanding traffic flow dynamics. Cooperative adaptive cruise control (CACC) vehicles are desired to enhance stability of vehicular flow by monitoring multiple vehicles. From the perspective of mixed traffic, this study proposes a generalized analysis method for CACC feedback gains to achieve stable mixed flow. To deal with this, a random mixed flow is divided into general small platoons, in which one tail CACC monitors multiple vehicles ahead. These general platoons with different lengths are defined as connected vehicular systems. Based on the generalized car-following models, transfer function theory is employed to derive string stability criteria that can keep these connected vehicular systems stable for all possible vehicle speeds. A case study is also carried out to validate usability of the proposed generalized work. The proposed generalized method is applicable to various car-following models and large connected vehicular systems, thereby helping achieving the string stability enhancement of mixed traffic flow. (C) 2021 American Society of Civil Engineers.
引用
收藏
页数:9
相关论文
共 50 条
  • [31] Stability analysis based on instantaneous driving behavior using car-following data
    Ranjitkar, P
    Nakatsuji, T
    Azuta, Y
    Gurusinghe, GS
    TRAFFIC FLOW THEORY AND HIGHWAY CAPACITY 2003: HIGHWAY OPERATIONS, CAPACITY, AND TRAFFIC CONTROL, 2003, (1852): : 140 - 151
  • [32] Controlling the Connected Vehicle with Bi-Directional Information: Improved Car-Following Models and Stability Analysis
    Yi, Ziwei
    Lu, Wenqi
    Qu, Xu
    Li, Linheng
    Mao, Peipei
    Ran, Bin
    SENSORS, 2021, 21 (24)
  • [33] Application of fuzzy systems in the car-following behaviour analysis
    Zheng, PJ
    McDonald, M
    FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, PT 1, PROCEEDINGS, 2005, 3613 : 782 - 791
  • [34] Anomaly detection and string stability analysis in connected automated vehicular platoons
    Wang, Yiyang
    Zhang, Ruixuan
    Masoud, Neda
    Liu, Henry X.
    TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2023, 151
  • [35] Microscopic analysis of desired-speed car-following stability
    Cho, Hsun-Jung
    Wu, Yuh-Ting
    APPLIED MATHEMATICS AND COMPUTATION, 2008, 196 (02) : 638 - 645
  • [36] Stability analysis of a multi-phase car-following model
    Liu, Ronghui
    Li, Xiang
    PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2013, 392 (11) : 2660 - 2671
  • [37] Stability Analysis of Car-Following Model with Uncertainty in Perceiving Velocity
    Zhang, Geng
    Sun, Dihua
    Zhao, Min
    Liu, Hui
    Chen, Dong
    Li, Yang
    INFORMATION TECHNOLOGY AND INTELLIGENT TRANSPORTATION SYSTEMS, VOL 1, 2017, 454 : 409 - 415
  • [38] Stochastic factors and string stability of traffic flow: Analytical investigation and numerical study based on car-following models
    Bouadi, Marouane
    Jia, Bin
    Jiang, Rui
    Li, Xingang
    Gao, Zi-You
    TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 2022, 165 : 96 - 122
  • [39] Prediction of Car-Following Risk Status Based on Car-Following Behavior Spectrum
    Wang M.
    Tu H.
    Li H.
    Tongji Daxue Xuebao/Journal of Tongji University, 2021, 49 (06): : 843 - 852
  • [40] Extending the adaptive time gap car-following model to enhance local and string stability for adaptive cruise control systems
    Khound, Parthib
    Will, Peter
    Tordeux, Antoine
    Gronwald, Frank
    JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 27 (01) : 36 - 56