基于卡尔曼滤波的交通信息融合方法

Kalman filtering based traffic information fusion method

基于卡尔曼滤波理论,针对交通信息采集过程中的多设备采集系统提出了两种对多种交通检测器检测信息的融合模型。基于该融合思想,建立了3种检测设备的融合模型,并利用3组检测设备的检测数据对该模型进行了验证。结果表明,这两种融合模型建立合理,可有效提高检测精度。

Based on Kalman filtering theory, aiming at the multi-sensor system during the transport information collection two models of traffic information fusion using the data from several transport detectors were proposed. Based on the concept the fusion models for three detection equipments were built and were tested by the detected data. The results show that these two models are reasonable and effective for improving the detection precision.