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Speed guidance model during the green phase based on a connected vehicle

机译:基于连接车辆的绿色阶段的速度引导模型

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摘要

Considering existing speed guidance models and their test method without reflecting upon the connected vehicle (CV) characteristics, a speed guidance model during the green phase is proposed using the real-time information of signal phase and timing, the vehicle travelling state, and environmental characteristics surrounding intersection. Considering the weakness of data non-synchronization and trajectory heterogeneity of the existing simulators, one-engine simulation architecture is introduced to validate the speed guidance model in the CV environment. The results indicate that the distribution of time headway shows a significant difference between with speed guidance and without speed guidance in the CV environment, and speed guidance can improve the harmonization of the time headway without degrading the travel efficiency. Speed guidance is affected by the space environment surrounding the intersection and V2I communication properties. Compared with a complicated space environment, for example an urban environment, speed guidance in a free space environment, for example a rural environment, has a better improvement of mobility and exhaust emission. In addition, the improvement of mobility and exhaust emission appears to have an increase tendency with the increase of transmission power and penetration rate.
机译:考虑到现有的速度引导模型及其测试方法,而又不影响所连接的车辆(CV)特性,利用信号相位和时间,车辆行驶状态和环境特性的实时信息,提出了绿色阶段的速度引导模型。周围的路口。考虑到现有仿真器数据不同步和轨迹异质性的弱点,引入单引擎仿真架构来验证CV环境中的速度引导模型。结果表明,在CV环境下,有速度引导与无速度引导之间的时空分布存在显着差异,并且速度引导可以改善时间间隔的协调性而不会降低行驶效率。交叉路口周围的空间环境和V2I通信属性会影响速度引导。与复杂的空间环境(例如城市环境)相比,自由空间环境(例如农村环境)中的速度引导具有更好的机动性和废气排放。另外,随着传输功率和穿透率的增加,迁移率和排气排放的改善似乎具有增加的趋势。

著录项

  • 来源
    《Simulation》 |2016年第10期|899-905|共7页
  • 作者单位

    Beijing Jiaotong Univ, MOE Key Lab Urban Transportat Complex Syst Theory, 3 Shang Yuan Cun, Beijing 100044, Peoples R China;

    Beijing Jiaotong Univ, MOE Key Lab Urban Transportat Complex Syst Theory, 3 Shang Yuan Cun, Beijing 100044, Peoples R China;

    Beijing Jiaotong Univ, MOE Key Lab Urban Transportat Complex Syst Theory, 3 Shang Yuan Cun, Beijing 100044, Peoples R China;

    Beijing Jiaotong Univ, MOE Key Lab Urban Transportat Complex Syst Theory, 3 Shang Yuan Cun, Beijing 100044, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Connected vehicle; speed guidance; one-engine simulation architecture; simulation validation;

    机译:互联汽车;速度引导;单引擎仿真架构;仿真验证;

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