Bifurcation analysis and control strategy for a car-following model considering jerk behavior

被引:8
|
作者
Tang, Yuan [1 ]
Xue, Yu [1 ]
Huang, Mu-Yang [1 ]
Wen, Qi-Yun [1 ]
Cen, Bing-Ling
Chen, Dong [2 ]
机构
[1] Guangxi Univ, Inst Phys Sci & Technol, Nanning 53004, Peoples R China
[2] Guangxi Univ Finance & Econ, Coll Management Sci & Engn, Nanning 530004, Peoples R China
基金
中国国家自然科学基金;
关键词
Traffic congestion; Hopf bifurcation; Definite integral stability (DIS) method; Time -delayed feedback controller; DELAYED-FEEDBACK CONTROL; OPTIMAL VELOCITY MODEL; TRAFFIC FLOW; DYNAMICAL MODEL; STABILITY; CHAOS; FORCE; JAMS;
D O I
10.1016/j.physa.2023.128692
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
To further improve the adaptability of the optimal velocity model (OVM) in the actual traffic flow, this paper proposes a car-following model that considers both the jerk effect and time-delayed feedback control. To study the dynamic behavior of this model, the following analysis is carried out: A stability conditions and equilibrium points controlling OVM are obtained by stability analysis and Hopf bifurcation analysis; Using the intuitive and accurate definite integral stabilization method (DIS), by calculating the number of all unstable eigenvalues of the characteristic equation, we obtain a stable timedelayed interval, and a time-delayed feedback controller is designed to stabilize the traffic system. The results show that the time-delayed feedback controller expands stable time-delayed interval, suppresses the influence of unstable factors on the traffic system, and improves stability of vehicle traffic; Numerical simulations agree with the theoretical results, indicating that the time-delayed feedback controller can effectively suppress traffic congestion and control the managed traffic. (c) 2023 Elsevier B.V. All rights reserved.
引用
收藏
页数:17
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