Probe vehicle-based traffic state estimation method with spacing information and conservation law
Probe vehicle-based traffic state estimation method with spacing information and conservation law
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DOI：
10.1016/j.trc.2015.05.019
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发表时间：
2015-10
影响因子：
8.3
通讯作者：
Toru Seo;Takahiko Kusakabe
中科院分区：
文献类型：
--
作者：
Toru Seo;Takahiko Kusakabe
本文提出了一种基于探测车数据的交通状态估计方法，其中探测车数据包含探测车的间距和位置。假设探测车利用先进的驾驶员辅助系统观察间距，该系统已在实践中实施，预计在不久的将来会推广。所提出的方法依赖于交通流的守恒定律，但独立于一个基本图。利用守恒定律对间距数据进行合理聚合，得到交通状态，流量、密度和速度。它的独立性，从一个基本的图表意味着，所提出的方法不需要预先确定的，也不外源的假设方面的交通流模型参数。通过理想条件下的仿真实验和实际交通条件下的现场实验对所提方法进行了验证，并对所提方法的经验特性进行了研究。
This paper proposes a method of estimating a traffic state based on probe vehicle data that contain spacing and position of probe vehicles. The probe vehicles were assumed to observe spacing by utilizing an advanced driver assistance system, that has been implemented in practice and is expected to spread in the near future. The proposed method relies on the conservation law of the traffic flow but is independent of a fundamental diagram. The conservation law is utilized for reasonable aggregation of the spacing data to acquire the traffic state, i.e., a flow, density and speed. Its independence from a fundamental diagram means that the proposed method does not require predetermined nor exogenous assumptions with regard to the traffic flow model parameters. The proposed method was validated through a simulation experiment under ideal conditions and a field experiment conducted under actual traffic conditions; and empirical characteristics of the proposed method were investigated.