Stability analysis of an improved car-following model accounting for the driver’s characteristics and automation
Stability analysis of an improved car-following model accounting for the driver’s characteristics and automation
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考虑驾驶员特征和自动化的改进跟车模型的稳定性分析
DOI：
10.1016/j.physa.2019.04.226
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发表时间：
2019-07
期刊：
影响因子：
--
通讯作者：
Li Wenyong
中科院分区：
文献类型：
--
作者：
Zhao Hongzhuan;Chen Qiguang;Shi Wei;Gu Tianlong;Li Wenyong
本文提出了一种改进的车辆跟驰模型，该模型考虑了驾驶员的特性和纵向驾驶的自动化。我们试图揭示驾驶行为的一些特征，即驾驶员在考虑延迟决策和攻击性以及自动控制器的情况下进行决策。驾驶员的延迟决策和积极性通过核函数积分项和车头时距摄动来表示，自动控制器由比例微分元件组成。采用频域扫描法对驱动器特性和控制器增益进行稳定性分析。所提出的模型的稳定区域之间的关系，显示了驾驶员的特性和自动控制器。数值算例说明了所提方法的有效性，并解释了驾驶员特性与自动控制器之间的关系。
This study presents an improved car-following model accounting for the driver’s characteristics and automation for longitudinal driving. We attempt to reveal some features of driving behavior, which drivers make decision in consideration with delayed decision and aggressiveness as well as the automated controller. The delayed decision and aggressiveness of drivers are represented via the integral term with kernel function and headway perturbation, and the automated controller consists of proportional–derivative element. Stability analysis is performed both driver’s characteristics and controller gains adopting frequency domain sweeping method. Stability regions of proposed model show the relationships between driver’s characteristics and automated controller. Some numerical examples are given to illustrate the effectiveness of the proposed methods and interpret the relation between driver’s characteristics and automated controller.
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DOI：
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影响因子：
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