Semi-Autonomous Adaptive Cruise Control in Mixed Traffic

S. Kitazono, H. Ohmori
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引用次数: 5

Abstract

Platoon of vehicles is a last purpose of the AHS (automated highway systems) which is a part of ITS (intelligent highway systems). Platoon that forgives mixture of automated vehicles and manually driven vehicles attracts much attention recently. In this paper, a platoon control law based on adaptive neural network (ANN) to lower level and semi-autonomous adaptive cruise control (SAACC) to upper level is proposed. Moreover, variable time-gap (VTG) policy is adopted as a spacing policy to satisfy traffic flow stability. We confirmed that the closed loop system is stable, and confirmed the effectiveness in the numerical simulation
混合交通中的半自主自适应巡航控制
车辆排是AHS(自动公路系统)的最后一个目的,它是ITS(智能公路系统)的一部分。最近,无人驾驶汽车和人工驾驶汽车混合的“排”备受关注。本文提出了一种下一级基于自适应神经网络(ANN),上一级基于半自主自适应巡航控制(SAACC)的排控制律。此外,为了满足交通流的稳定性,还采用了变时隙策略作为间隔策略。通过数值模拟验证了闭环系统的稳定性,并验证了该方法的有效性
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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