The invention discloses a traffic state estimation method only based on mobile traffic detection data. Different from a conventional traffic state estimation method, the method does not need to use a fixed detector to detect data, and traffic state estimation can be carried out only by using the speed, spacing and vehicle length information provided by the networked vehicle in combination with the METANET model and the extended Kalman filtering. The method can be effectively used for traffic state estimation, the installation and maintenance cost of a fixed detector is saved, and the accuracy of traffic state estimation is improved.
本发明公开了一种仅基于移动交通检测数据的交通状态估计方法。不同于以往的交通状态估计方法,本方法无需使用固定检测器检测数据,仅利用网联车提供的速度、间距、车长信息,结合METANET模型与扩展卡尔曼滤波,即可进行交通状态估计。本发明能有效用于交通状态估计,节约固定检测器安装和维护成本,提高交通状态估计的准确度。
Traffic state estimation method only based on mobile traffic detection data
一种仅基于移动交通检测数据的交通状态估计方法
01.03.2024
Patent
Elektronische Ressource
Chinesisch
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