The invention relates to a road traffic capacity and networked automatic driving vehicle equivalent coefficient estimation method. The method comprises the steps of obtaining a saturated vehicle headtime interval average value and a layout type; obtaining the number of networked automatic driving vehicles in a research range; obtaining the number of queues formed by the networked automatic driving vehicles; obtaining a mixed saturated traffic flow vehicle head time interval average value in a specific arrangement form; calculating the probability of a specific arrangement form through a probability quality function; obtaining a final mixed saturated traffic flow vehicle head time interval average value; and obtaining the road traffic capacity and the networked automatic driving vehicle equivalent coefficient PCE. Compared with the prior art, calculation is effectively simplified, and meanwhile the defect that a networked automatic driving vehicle formation strategy is generally ignored in current research is overcome.

    本发明涉及一种道路通行能力与网联自动驾驶车当量系数估计方法,包括:获得饱和车头时距平均值和布局类型:得到研究范围内的网联自动驾驶车数量;得到网联自动驾驶车形成的队列的数量;得到特定排列形式的混合饱和交通流车头时距平均值;通过概率质量函数计算特定排列形式的概率;得到最终混合饱和交通流车头时距平均值;得到道路通行能力和网联自动驾驶车当量系数PCE。与现有技术相比,有效简化了计算,同时弥补了当前研究中普遍忽视网联自动驾驶车编队策略的弱点。


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    Title :

    Road traffic capacity and networked automatic driving vehicle equivalent coefficient estimation method


    Additional title:

    一种道路通行能力与网联自动驾驶车当量系数估计方法


    Contributors:
    MA WANJING (author) / LIN QIHENG (author) / HE ZILIANG (author) / WANG LING (author) / YU CHUNHUI (author)

    Publication date :

    2020-04-10


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen



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