VEHICLE TRAFFIC FLOW PREDICTION METHOD WITH MISSING DATA

摘要

A vehicle traffic flow prediction method with missing data is disclosed. The method includes the steps of inputting the topological structure of the traffic flow to be predicted, selecting a certain road section in the road network as the road section to be predicted, and determining the adjacent road section data set of the road section to be predicted by the spatial-temporal relationship between the observable data and the missing data. According to the nearest neighbor algorithm, the missing data in the data set of the adjacent road sections are filled to get the filled data set, and then the traffic flow data of the road sections to be predicted at the prediction time is obtained. The method can be used for efficiently predicting the vehicle traffic flow of a certain road section in the case of missing traffic flow data in the complex urban road network.