A Mixed-traffic Car-Following Model Considering Cooperation Efficiency

被引：0
作者：
Wang, Yuefeng [1 ]
Li, Yongfu [1 ]
Huang, Longwang [1 ]
Liu, Boyu [2 ]
机构：
[1] Chongqing Univ Posts & Telecommun, Coll Automat, Key Lab Intelligent Air Ground Cooperat Control U, Chongqing 400065, Peoples R China
[2] Chongqing Univ Posts & Telecommun, Key Lab Intelligent Air Ground Cooperat Control U, Coll Comp Sci & Technol, Chongqing 400065, Peoples R China
来源：
2023 35TH CHINESE CONTROL AND DECISION CONFERENCE, CCDC | 2023年
基金：
中国国家自然科学基金;
关键词：
connected vehicles; human-driven vehicles; collaboration efficiency; penetration rate; FLOW;
D O I：
10.1109/CCDC58219.2023.10326655
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper analyzes the characteristics of connected vehicles (CVs) and human-driven vehicles(HDVs), and considers the cooperative driving of CVs with the preceding vehicle. On this basis, a general vehicle following model is proposed, and the stability of mixed flow system is discussed. Through simulation experiments, the effects of collaboration efficiency and penetration rate (PR) on the stability of mixed flow system are analyzed, and the rationality of the proposed vehicle tracking (CF) model is verified.
引用
收藏
页码：483 / 488
页数：6
相关论文
共 14 条
[1]   DYNAMICAL MODEL OF TRAFFIC CONGESTION AND NUMERICAL-SIMULATION [J].
BANDO, M ;
HASEBE, K ;
NAKAYAMA, A ;
SHIBATA, A ;
SUGIYAMA, Y .
PHYSICAL REVIEW E, 1995, 51 (02) :1035-1042
[2]   Modeling and Simulating Urban Traffic Flow Mixed With Regular and Connected Vehicles [J].
Cao, Zuping ;
Lu, Lili ;
Chen, Chen ;
Chen, Xu .
IEEE ACCESS, 2021, 9 :10392-10399
[3]  
Cui S, IEEE Transactions on Intelligent Transportation Systems, P1
[4]   Full velocity difference model for a car-following theory [J].
Jiang, R ;
Wu, QS ;
Zhu, ZJ .
PHYSICAL REVIEW E, 2001, 64 (01) :4-017101
[5]   A car-following model considering the effect of electronic throttle opening angle under connected environment [J].
Li, Yongfu ;
Zhang, Li ;
Peeta, Srinivas ;
He, Xiaozheng ;
Zheng, Taixiong ;
Li, Yinguo .
NONLINEAR DYNAMICS, 2016, 85 (04) :2115-2125
[6]   Analytical studies on the instabilities of heterogeneous intelligent traffic flow [J].
Ngoduy, D. .
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, 2013, 18 (10) :2699-2706
[7]   Influence of connected and autonomous vehicles on traffic flow stability and throughput [J].
Talebpour, Alireza ;
Mahmassani, Hani S. .
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2016, 71 :143-163
[8]   Congested traffic states in empirical observations and microscopic simulations [J].
Treiber, M ;
Hennecke, A ;
Helbing, D .
PHYSICAL REVIEW E, 2000, 62 (02) :1805-1824
[9]   Controllability Analysis and Optimal Control of Mixed Traffic Flow With Human-Driven and Autonomous Vehicles [J].
Wang, Jiawei ;
Zheng, Yang ;
Xu, Qing ;
Wang, Jianqiang ;
Li, Keqiang .
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 22 (12) :7445-7459
[10]   Stability analysis of heterogeneous traffic flow influenced by memory feedback control signal [J].
Wang, Ting ;
Cheng, Rongjun ;
Wu, Yong .
APPLIED MATHEMATICAL MODELLING, 2022, 109 :693-708
12