Feedback control for car-following model with the consideration of the delay memory driving behavior

被引：7
|
作者：
Zhou, Tong [1 ]
Li, Yuxuan [1 ]
Yang, Zhiyong [1 ]
机构：
[1] Chongqing Vocat Inst Engn, Sch Big Data & Internet Things, Chongqing 402260, Peoples R China
来源：
2021 13TH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTATIONAL INTELLIGENCE (ICACI) | 2021年
关键词：
Traffic flow; delayed-feedback control; delay memory; numerical simulation;
D O I：
10.1109/ICACI52617.2021.9435881
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, based on the classic coupled map car following model [11], a new control car-following model is presented with the consideration of the delay memory driving behavior. The stability condition of the control system is obtained via control theory. Numerical simulation implies that the contained delay memory control signal can improve the stability of traffic flow. Furthermore, with the increase of control signal, the control effect of traffic system becomes better.
引用
收藏
页码：1 / 5
页数：5
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