Bifurcation control based on improved intelligent driver model considering stability and minimum gasoline consumption

成熟度(心理) 电子稳定控制 燃料效率 分叉 过程(计算) 计算机科学 理论(学习稳定性) 消费(社会学) 智能交通系统 流量(计算机网络) 汽车工程 运筹学 工程类 运输工程 计算机安全 机器学习 物理 操作系统 发展心理学 社会学 非线性系统 量子力学 社会科学 心理学
作者
Liyou Li,Weilin Ren,Rongjun Cheng
出处
期刊:Transportmetrica [Taylor & Francis]
卷期号:: 1-22 被引量:2
标识
DOI:10.1080/23249935.2023.2243345
摘要

AbstractAdvanced driver assistance system (ADAS) plays an important role in the transition period before the full maturity of self-driving technology. In this paper, an intelligent driver model with multiple time delays (IDM-MTD) is established to describe the dynamic characteristics of vehicles equipped with ADAS. Moreover, a control term that considers the velocity difference between the current and historical moment is selected for assistance driving. A novel framework is proposed to determine control parameters in controlled IDM-MTD. The definite integral stability method (DISM) is integrated into the framework to constrain the range of parameters that make the system stable. In the control strategy design process, this paper places significant emphasis on the implementation of the DISM modification to effectively address redundant iteration steps by exploiting the characteristic of bifurcation. Through numerical simulation, a two-dimensional optimal parameter combination is found, which not only stabilizes traffic flow but also produces minimal gasoline consumption.KEYWORDS: Intelligent driver modelminimum gasoline consumptionimproved definite integral methodbifurcation theory Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis work is supported by the Natural Science Foundation of Zhejiang Province, China [grant number LY22G010001] and National '111' Centre on Safety and Intelligent Operation of Sea Bridges [grant number D21013] and the K.C. Wong Magna Fund in Ningbo University, China and Healthy & Intelligent Kitchen Engineering Research Center of Zhejiang Province.
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