Stability Analysis of a Two-lane Car-following Model with Effect of Driver' s Characteristics

被引：0
|
作者：
Du W.-J. [1 ]
Li Y.-Z. [1 ]
Yu J.-N. [1 ]
机构：
[1] School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou
来源：
Jiaotong Yunshu Xitong Gongcheng Yu Xinxi/Journal of Transportation Systems Engineering and Information Technology | 2019年 / 19卷 / 05期
基金：
中国国家自然科学基金;
关键词：
Cluster synchronization; Driver' s personality characteristics; External disturbance; Stability; Traffic engineering; Two-lane car-following model;
D O I：
10.16097/j.cnki.1009-6744.2019.05.010
中图分类号：
学科分类号：
摘要：
In order to study the traffic jams and congestion, and to understand the forming process of traffic congestion and the influence of drivers' own characteristics on the stability of two-lane traffic flow, the paper investigated the stability of a two-lane car-following model with the effect of driver' s characteristics on the basis of cluster synchronization theory of complex network. By designing the appropriate controller, the two-lane car-following model with the effect of driver' s characteristics is quickly stabilized and the stability condition of the model is obtained. Besides, based on the adaptive H∞ cluster synchronization theory for complex networks with external disturbances, the stability of two-lane car-following model with the effect of driver' s characteristics is studied when the vehicles is subjected to random external disturbance. Finally, the effects of the designed controller on the stability of the two-lane traffic flow and the influence of different drivers' personality characteristics on the traffic flow are verified by using the MATLAB simulation technology. Copyright © 2019 by Science Press.
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页码：66 / 77and93
页数：7727
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共 15 条
  • [11] Shen H., Park J.H., Wu Z.G., Et al., Finite-time H<sub>∞</sub> synchronization for complex networks with semi-Markov jump topology, Communications in Nonlinear Science and Numerical Simulation, 24, 1-3, pp. 40-51, (2015)
  • [12] Zhu J.W., Yang G.H., Robust H<sub>∞</sub> dynamic output feedback synchronization for complex dynamical networks with disturbances, Neurocomputing, 175, pp. 287-292, (2016)
  • [13] Liu L., Chen W.H., Lu X., Impulsive H<sub>∞</sub> synchronization for reaction-diffusion neural networks with mixed delays, Neurocomputing, 272, pp. 481-494, (2018)
  • [14] Zheng L., Ma S.F., Zhong S.Q., Influence of lane change on stability analysis for two-lane traffic flow, Chinese Physics B, 20, 8, (2011)
  • [15] Rong Y., Wen H.Y., An extended delayed feedback control method for the two-lane traffic flow, Nonlinear Dynamics, 94, 4, pp. 2479-2490, (2018)
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