The invention discloses a multi-source traffic information fusion method and device. The method comprises the steps: obtaining multi-source traffic information, and carrying out the preprocessing of the multi-source traffic information according to a Kalman filter, and obtaining a standard data source; according to the evidence distance between the information sources in the standard data source,calculating to obtain basic probability allocation of the standard data source; static reliability optimization and dynamic reliability optimization are conducted on the basic probability distributionaccording to the D-S evidence theory, and static basic probability distribution and dynamic basic probability distribution are obtained. According to the multi-source traffic information fusion method and device provided by the invention, the Kalman filtering algorithm and the D-S theoretical method are combined to fuse the multi-source traffic information, and the accuracy and stability of multi-source traffic information fusion are improved.
本发明公开了一种多源交通信息融合方法及装置,融合方法包括:获取多源交通信息,根据卡尔曼滤波器对多源交通信息进行预处理得到标准数据源;根据标准数据源中信息源之间的证据距离,计算得到标准数据源的基本概率分配;根据D‑S证据理论对基本概率分配分别进行静态可靠性优化和动态可靠性优化,得到静态基本概率分配和动态基本概率分配。本发明提供一种多源交通信息融合方法及装置,结合卡尔曼滤波算法以及D‑S理论方法对多源交通信息进行融合,提高多源交通信息融合的准确性和稳定性。
Multi-source traffic information fusion method and device
一种多源交通信息融合方法及装置
2020-10-30
Patent
Elektronische Ressource
Chinesisch
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