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Stability analysis of an improved car-following model accounting for the driver's characteristics and automation

机译:改进的汽车之后模型核算稳定性分析驾驶员特性和自动化

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摘要

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. (C) 2019 Elsevier B.V. All rights reserved.
机译:本研究提出了一种改进的汽车之后模型,用于驾驶员的纵向驾驶特性和自动化。 我们试图揭示驾驶行为的一些特征,驱动程序考虑到延迟决策和攻击性以及自动控制器的决定。 驱动程序的延迟判定和攻击性通过具有内核功能和前往扰动的整体术语表示,自动化控制器由比例衍生元素组成。 稳定性分析驾驶员的特性和控制器增益采用频域清扫方法。 所提出的模型的稳定性区域展示了驾驶员特性和自动控制器之间的关系。 给出了一些数值示例以说明所提出的方法的有效性,并解释驾驶员特性和自动控制器之间的关系。 (c)2019 Elsevier B.v.保留所有权利。

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