Weighting map matching method based on multiple information resources

The invention aims to provide a weighting map matching method based on multiple information resources. According to the weighting map matching method, pseudo-range observed quantity from a GPS (Global Position System), speed observed quantity v output by a DR (Data Recorder) and course angle observed quantity theta are fused in an observed quantity domain through expanding Kalman filtering to realize the information fusion of a tight integration navigation system so as to obtain a positioning solution, and map matching is carried out by utilizing the positioning result and map data. The weighting map matching method comprises the following steps of: firstly, searching an alternative route; secondly, selecting a correct alternative route; and finally, carrying out projection from a positioning point to the selected path with a vertical projection method so as to finish map matching. According to the map matching method, under the condition of path selection determination, due to the adoption of the tight integration navigation system with multiple navigation information sources, the performance influence on the map matching is relatively weakened, therefore, the path selection efficiency is improved.