The invention relates to a traffic state estimation method and device based on multi-source information fusion. The method comprises the following steps of dividing a highway network into a plurality of cells according to entrance and exit ramp positions, ETC door frame positions and lane number change positions; based on the divided cells, taking traffic flow density as a traffic state variable, establishing a traffic flow model of the highway network, and determining an output matrix corresponding to each type of traffic sensor in the highway network; constructing at least one state observer according to observability or detectability of a highway network system composed of the highway network system matrix and the output matrix corresponding to each type of traffic sensor; calculating a vehicle density estimation value corresponding to the highway network based on each state observer; performing fusion calculation of weighted summation on all the vehicle density estimation values to obtain a final vehicle density estimation value; and estimating a traffic state of the highway network according to the final vehicle density estimation value. The method is advantaged in estimation precision of the traffic state can be improved.
本发明是关于一种基于多源信息融合的交通状态估计方法和装置,方法包括:将高速路网按照出入口匝道位置、ETC门架位置和车道数变化位置划分成若干个元胞;基于划分的元胞,以交通流密度为交通状态变量,建立高速路网的交通流模型,并确定高速路网中各个类型的交通传感器对应的输出矩阵;根据由高速路网系统矩阵和每个类型的交通传感器对应的输出矩阵组成的高速路网系统的可观测性或可检测性构建至少一个状态观测器;基于每个状态观测器计算高速路网对应的车辆密度估计值;对所有车辆密度估计值进行加权求和的融合计算,得到最终车辆密度估计值;根据最终车辆密度估计值估计高速路网的交通状态。通过该技术方案,可以提升交通状态的估计精度。
Traffic state estimation method and device based on multi-source information fusion
基于多源信息融合的交通状态估计方法和装置
2021-06-25
Patent
Elektronische Ressource
Chinesisch
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
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