Traffic flow prediction method based on mixed feature mining

Abstract

The invention discloses a traffic flow prediction method based on mixed feature mining. The method comprises: introducing mixed characteristic data on the basis of traffic flow data; wherein the dataspecifically comprises time characteristic data and traffic situation characteristic data; according to a traffic flow prediction target, mining corresponding features which are high in importance, large in feature difference and independent of one another from mixed features, eliminating features which are low in correlation and redundant and repeated, combining the mined features with traffic flow data to serve as model input, constructing a traffic flow prediction model, and achieving traffic flow prediction through the model. The prediction model with lower complexity and higher interpretability is constructed while rich features are introduced, and the prediction accuracy of the model is remarkably improved.

Description

Technical field [0001] The invention relates to the technical field of intelligent transportation, in particular to a traffic flow prediction method based on mixed feature mining. Background technique [0002] In recent years, smart transportation has developed rapidly. Traffic prediction models are used to predict future traffic conditions. By predicting traffic conditions in advance, traffic managers are encouraged to adopt effective traffic control methods as soon as possible to improve transportation efficiency and travel experience. Most of the existing traffic state prediction models use historical traffic flow information to predict the future traffic state, but the lack of other effective information makes the accuracy of the flow prediction reach a bottleneck and it is difficult to continue to improve. [0003] In view of the above problems, the present invention proposes a traffic flow prediction method based on mixed feature mining, which introduces mixed features on the...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to address the deficiencies of the prior art, and propose a traffic flow prediction method based on mixed feature mining, so as to solve the problem that most of the existing traffic state prediction models use historical traffic flow information to predict future traffic states, and lack other effective methods. information, so that the accuracy of traffic forecasting reaches a bottleneck, and it is difficult to continue to improve the problem. On the basis of traffic flow, mixed features are introduced, including time features and traffic situation features.

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