Model training method and device, parameter prediction method and device, electronic equipment and storage medium

Abstract

The invention provides a model training method and device, a parameter prediction method and device, electronic equipment and a storage medium, and relates to the technical field of deep learning. Themethod comprises the following steps: firstly, obtaining sample data are obtained, wherein the sample data at least comprise road network relation information and historical traffic information of all road sections in a target area, and the road network relation information comprises adjacency relation information between each road section in the target area and other road sections; secondly, performing vectorization processing on at least one kind of information in the sample data to obtain training data; and then, training a pre-constructed neural network model based on the training data toobtain a traffic parameter prediction model, the traffic parameter prediction model being used for performing prediction processing on a target road section in the target area to obtain traffic parameters of the target road section. By means of the method, the problem that an existing speed prediction technology is low in prediction precision can be solved.

Description

technical field [0001] The present application relates to the technical field of deep learning, in particular, to a method and device for model training, parameter prediction, electronic equipment, and storage media. Background technique [0002] With the continuous development of deep learning technology, its application fields have been continuously developed. For example, a prediction model can be obtained through deep learning, which can be used to predict road traffic parameters, so that users can travel more efficiently when driving vehicles. , thereby improving the driving experience. [0003] However, the inventors of the present application found that when predicting traffic parameters based on existing prediction models, there is a problem of low prediction accuracy. Contents of the invention [0004] In view of this, the purpose of this application is to provide a model training, parameter prediction method and device, electronic equipment and storage media, so...

AI Technical Summary

Problems solved by technology

[0004] In view of this, the purpose of this application is to provide a model training, parameter prediction method and device, electronic equipment and storage media, so as to improve the problem of low prediction accuracy existing in the existing traffic parameter prediction technology

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