Road traffic flow prediction method and system

Abstract

The invention discloses a road traffic flow prediction method and system. The method comprises the steps of obtaining a historical road traffic flow data set of a selected region in a period of time, and carrying out the preprocessing of the data set, establishing a traffic flow prediction basic model, carrying out the deep training learning of the traffic flow prediction basic model through the preprocessed historical road traffic flow data set, so as to obtain an optimal parameter, and obtaining a final traffic flow prediction model, and predicting to-be-predicted traffic flow data by using the final traffic flow prediction model. According to the method, the problems that in the prior art, traffic flow prediction is mostly linear prediction methods, the thought of the prediction methods is simple and easy to understand, but some characteristics in traffic flow data are often ignored due to the fact that the prediction methods cannot reflect nonlinearity of traffic flow, and the prediction precision is poor are solved.

Description

technical field [0001] The present invention relates to the technical field of road traffic, in particular to a road traffic flow prediction method and system. Background technique [0002] The prediction of road traffic flow is an important prerequisite for traffic management and control, and is the key to realize traffic flow system guidance and formulate traffic safety strategies. Traffic flow prediction is an important part of intelligent transportation. It can predict the road traffic state in the future, and plays an important role in alleviating traffic congestion and effectively utilizing road resources. [0003] Most of the traffic flow predictions in the prior art are linear prediction methods. These prediction methods are simple and easy to understand, but because they cannot reflect the nonlinearity of traffic flow, they often ignore some characteristics of traffic flow data, and their prediction accuracy is relatively low. Difference. [0004] Therefore, it is...

AI Technical Summary

Problems solved by technology

[0005] Aiming at the above-mentioned technical problems, the purpose of the present invention is to overcome the traffic flow prediction methods in the prior art, which are mostly linear prediction methods. The ideas of these prediction methods are simple and easy to understand, but because they cannot reflect the nonlinearity of traffic flow, they often ignore traffic flow. Some characteristics in the data have poor prediction accuracy, thus providing a road traffic flow prediction method and system that uses a nonlinear prediction method to predict road traffic flow during use to ensure prediction accuracy

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