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Variable time headway spacing strategy for connected vehicles platoon based on sliding mode control

车头时距 加速度 控制理论(社会学) 滑模控制 控制器(灌溉) 模式(计算机接口) 计算机科学 流量(计算机网络) 理论(学习稳定性) 工程类 模拟 控制(管理) 物理 机器学习 操作系统 人工智能 非线性系统 生物 经典力学 量子力学 计算机安全 农学
作者
Xinfa Zhuang,Jing Zhang,Junfang Tian,Fengying Cui,Tao Wang
出处
期刊:Physica D: Nonlinear Phenomena [Elsevier BV]
卷期号:637: 129588-129588 被引量:11
标识
DOI:10.1016/j.physa.2024.129588
摘要

In complex traffic environments, the preceding vehicle in the platoon often experiences frequent acceleration and deceleration due to changing traffic conditions, resulting in fluctuations in the velocity of the following vehicles. While the current spacing strategy can help the platoon regain a stable state during the fluctuation of vehicle flow, it does not effectively suppress the velocity and acceleration fluctuations of the following vehicles during the adjustment process. This paper proposes a novel variable time headway (VTH) spacing strategy, which employs the neighboring vehicle velocity ratio to depict the relative variations in velocity and considers the impact of the preceding vehicle's acceleration. As a result, the fluctuations of the preceding vehicle can be precisely characterized allowing the following vehicles to respond promptly and accurately to the changes in the behavior of the preceding vehicle. Simultaneously, a robust low communication dependency (RLCD) system based on the third-order dynamic model is proposed to mitigate the impact of complexity and reliability of information flow topology (IFT) on platoon stability in the Vehicular Ad hoc NETwork (VANET). Based on the proposed VTH strategy, a robust coupled sliding mode controller for the platoon is designed under the low communication dependency requirement. Furthermore, by introducing dynamic sliding mode control into the coupled sliding mode surface, a smoother controller input is obtained while ensuring the string stability of the vehicle platoon. The numerical simulation results demonstrate conclusively that the proposed strategy effectively reduces velocity tracking errors and acceleration fluctuations for connected vehicles (CVs) in complex traffic environments. The fluctuations of the preceding vehicles can be more effectively absorbed, and the overall tracking performance of the vehicle platoon is enhanced.
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