巡航控制
自动化
协同自适应巡航控制
理论(学习稳定性)
计算机科学
穿透率
车辆动力学
工程类
控制工程
控制(管理)
控制理论(社会学)
汽车工程
人工智能
机械工程
机器学习
岩土工程
作者
Sicong Guo,Gábor Orosz,Tamás G. Molnár
标识
DOI:10.1109/tits.2023.3285852
摘要
This paper considers mixed traffic consisting of connected automated vehicles equipped with vehicle-to-everything (V2X) connectivity and human-driven vehicles. A control strategy is proposed for communicating pairs of connected automated vehicles, where the two vehicles regulate their longitudinal motion by responding to each other, and, at the same time, stabilize the human-driven traffic between them. Stability analysis is conducted to find stabilizing controllers, and simulations are used to show the efficacy of the proposed approach. The impact of the penetration of connectivity and automation on the string stability of traffic is quantified. It is shown that, even with moderate penetration, connected automated vehicle pairs executing the proposed controllers achieve significant benefits compared to when these vehicles are disconnected and controlled independently.
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