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Empirical analysis and simulation of the concave growth pattern of traffic oscillations

机译:交通振荡的凹形增长模式的实证分析与仿真

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摘要

This paper has investigated the growth pattern of traffic oscillations in the NGSIM vehicle trajectories data, via measuring the standard deviation of vehicle velocity involved in oscillations. We found that the standard deviation of the velocity increases in a concave way along vehicles in the oscillations. Moreover, all datasets collapse into a single concave curve, which indicates a universal evolution law of oscillations. A comparison with traffic experiment shows that the empirical and the experimental results are highly compatible and can be fitted by a single concave curve, which demonstrates that qualitatively the growth pattern of oscillations is not affected by type of bottleneck and lane changing behavior. We have shown theoretically that small disturbance with an angular frequency a) increases in a convex way in the initial stage in the traditional models presuming a unique relationship between speed and density, which obviously deviates from our findings. Simulations show that stochastic models in which the traffic state dynamically spans a 2D region in the speed-spacing plane can qualitatively or even quantitatively reproduce the concave growth pattern of traffic oscillations. (C) 2016 Elsevier Ltd. All rights reserved.
机译:本文通过测量与振动有关的车速标准偏差,研究了NGSIM车辆轨迹数据中交通振动的增长模式。我们发现,在振动中,速度的标准偏差沿着车辆沿着凹面增加。此外,所有数据集都折叠成一条凹曲线,这表明了振荡的普遍发展规律。与交通实验的比较表明,经验和实验结果高度兼容,并且可以由一条凹曲线拟合,这表明定性地,振荡的增长方式不受瓶颈类型和变道行为的影响。理论上我们已经证明,在传统模型中,角速度为a)的小扰动在初始阶段会以凸的方式增加,这假定速度和密度之间存在独特的关系,这显然与我们的发现背道而驰。仿真表明,交通状态动态跨越速度分布平面中二维区域的随机模型可以定性甚至定量地再现交通波动的凹形增长模式。 (C)2016 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Transportation Research Part B: Methodological》 |2016年第11期|338-354|共17页
  • 作者单位

    Tianjin Univ, Inst Syst Engn, Coll Management & Econ, Tianjin 300072, Peoples R China;

    Beijing Jiaotong Univ, MOE Key Lab Urban Transportat Complex Syst Theory, Beijing 100044, Peoples R China;

    Beijing Jiaotong Univ, MOE Key Lab Urban Transportat Complex Syst Theory, Beijing 100044, Peoples R China;

    Beijing Jiaotong Univ, MOE Key Lab Urban Transportat Complex Syst Theory, Beijing 100044, Peoples R China;

    Tianjin Univ, Inst Syst Engn, Coll Management & Econ, Tianjin 300072, Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Traffic oscillation; Concave growth pattern; Car following behavior;

    机译:交通振荡;凹形增长模式;跟车行为;

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