控制理论(社会学)
流量(计算机网络)
过程(计算)
理论(学习稳定性)
计算机科学
流量(数学)
模拟
控制(管理)
物理
机械
人工智能
计算机安全
操作系统
机器学习
作者
Chengjun Kang,Yongsheng Qian,Junwei Zeng,Xuting Wei
出处
期刊:International Journal of Modern Physics C
[World Scientific]
日期:2022-01-17
卷期号:33 (07)
被引量:4
标识
DOI:10.1142/s0129183122500930
摘要
In this paper, an improved car-following model is raised by taking the preceding vehicle’s velocity feedback and desired inter-vehicle distance into account. The asymptotic and local stability criteria are obtained via control theory method to analyze the effect of the preceding vehicle’s velocity feedback and desired inter-vehicle distance on dynamic characteristics of traffic flow. In addition, numerical simulations are constructed on vehicle starting and traffic flow evolution processes, which show that the proposed car-following model can better present the characteristics of traffic flow. The preceding vehicle’s velocity feedback and desired inter-vehicle distance play a vital role on vehicle starting process and the stability of traffic flow.
科研通智能强力驱动
Strongly Powered by AbleSci AI