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
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