Car following models for alleviating the degeneration of CACC function of CAVs in weak platoon intensity

IF 3.3 3区 工程技术 Q2 TRANSPORTATION
Le Xu , Jianxiao Ma , Shile Zhang , Yuchen Wang
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引用次数: 0

Abstract

To alleviate the performance degeneration of the cooperative adaptive cruising control (CACC) of connected and automated vehicles (CAVs) with low market penetration rates (MPRs), it is necessary to resolve the performance degeneration of CAVs operating at weak mixed-platoon intensities for any-MPR CAVs. A car following model (PMCC) for CAVs is proposed, accounting for human reaction time, communication delay, traffic information memory, and vehicle-to-vehicle (V2V) communication. Linear stability analysis was conducted to validate the stability of mixed platoons at weak platoon intensities for different CAV following models. Numerical simulations were conducted to simulate weak-intensity mixed platoons for different CAV following models operating at high and low equilibrium velocities. The results suggest that PMCC exhibits wider stability equilibrium intervals under different theoretical time headway scenariosand performs well at dissipating the speed fluctuation propagation and minimizing the speed fluctuation amplitude.

缓解弱排强度CAV CACC功能退化的跟车模型
为了缓解市场渗透率(MPR)较低的互联和自动驾驶车辆(CAVs)的协同自适应巡航控制(CACC)性能退化问题,有必要解决任何市场渗透率的CAVs在弱混合排队强度下运行时的性能退化问题。本文提出了一种 CAV 的跟车模型(PMCC),该模型考虑了人的反应时间、通信延迟、交通信息记忆和车对车(V2V)通信。进行了线性稳定性分析,以验证不同 CAV 跟车模型在弱排强度下混合排的稳定性。进行了数值模拟,以模拟在高平衡速度和低平衡速度下运行的不同 CAV 尾随模型的弱强度混合排。结果表明,PMCC 在不同的理论时距情况下表现出更宽的稳定平衡区间,并在消散速度波动传播和最小化速度波动振幅方面表现良好。
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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来源期刊
CiteScore
6.40
自引率
14.30%
发文量
79
审稿时长
>12 weeks
期刊介绍: Transportation Letters: The International Journal of Transportation Research is a quarterly journal that publishes high-quality peer-reviewed and mini-review papers as well as technical notes and book reviews on the state-of-the-art in transportation research. The focus of Transportation Letters is on analytical and empirical findings, methodological papers, and theoretical and conceptual insights across all areas of research. Review resource papers that merge descriptions of the state-of-the-art with innovative and new methodological, theoretical, and conceptual insights spanning all areas of transportation research are invited and of particular interest.
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