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首页> 外文期刊>Physica, A. Statistical mechanics and its applications >Analysis on traffic stability and capacity for mixed traffic flow with platoons of intelligent connected vehicles
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Analysis on traffic stability and capacity for mixed traffic flow with platoons of intelligent connected vehicles

机译：用智能连接车辆用凝块混合交通流量的交通稳定性与能力分析

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摘要

With the development of technology, platoons of intelligent and connected vehicles (ICVs) will join regular vehicles on roads, and the characteristics of the traffic flow will change accordingly. In this paper, the traffic flow configurations and the spatial distributions of various types of vehicles are analyzed, when the mixed traffic flow is in equilibrium. To model the mixed traffic flow with platoons of ICVs, the intelligent driver model and the PATH laboratory-calibrated cooperative adaptive cruise control model are introduced for capturing the car-following behavior in this study. Then, analytical methods for the stability and the fundamental diagram models of mixed traffic flow are developed. The results of the sensitivity analysis demonstrated that ICVs can improve the stability of the mixed traffic flow under a critical speed. However, if this critical speed is exceeded, an increase in the number of ICVs may degrade the stability of the mixed traffic flow. Moreover, this critical speed decreases as the maximum platoon size increases. In addition to stability, the results suggest that ICVs can effectively improve traffic capacity. Moreover, the study results demonstrate that a decrease in the desired time headway and an increase in the maximum platoon size are advantageous for the efficiency of the mixed flow. (C) 2020 Elsevier B.V. All rights reserved.
机译：随着技术的发展，智能和连通车辆（ICVS）将加入道路上的常规车辆，交通流量的特点将相应地改变。在本文中，分析了混合业务流量处于平衡时的交通流量配置和各种类型车辆的空间分布。为了将混合交通流量与ICV的镀胶模拟，介绍了智能驱动器模型和路径实验室校准的协作自适应巡航控制模型，用于捕获本研究中的汽车后行为。然后，开发了用于稳定性的分析方法和混合交通流量的基本图模型。灵敏度分析的结果表明，ICV可以在临界速度下改善混合交通流量的稳定性。但是，如果超过该临界速度，则ICV的数量的增加可能会降低混合业务流的稳定性。此外，随着最大排尺寸的增加，这种临界速度降低。除了稳定性之外，结果表明ICV可以有效地提高交通量。此外，研究结果表明，期望的时间头部的降低和最大排尺寸的增加对于混合流动的效率是有利的。 （c）2020 Elsevier B.v.保留所有权利。

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  • 来源
  • 作者

    Chang Xin; Li Haijian; Rong Jian; Zhao Xiaohua; Li Anran;

  • 作者单位

    Beijing Univ Technol Coll Metropolitan Transportat Beijing Engn Res Ctr Urban Transport Operat Guara Beijing 100124 Peoples R China;

    Beijing Univ Technol Coll Metropolitan Transportat Beijing Engn Res Ctr Urban Transport Operat Guara Beijing 100124 Peoples R China;

    Beijing Univ Technol Coll Metropolitan Transportat Beijing Engn Res Ctr Urban Transport Operat Guara Beijing 100124 Peoples R China;

    Beijing Univ Technol Coll Metropolitan Transportat Beijing Engn Res Ctr Urban Transport Operat Guara Beijing 100124 Peoples R China;

    Beijing Univ Technol Coll Metropolitan Transportat Beijing Engn Res Ctr Urban Transport Operat Guara Beijing 100124 Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 物理学;
  • 关键词

    Mixed traffic flow; Connected vehicle; Penetration rate; Platoon size; Stability; Fundamental diagram;

    机译：混合交通流量;连接的车辆;渗透率;排尺寸;稳定性;基本图;

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