Traffic flow prediction method and device, computer equipment and readable storage medium

Abstract

The invention discloses a traffic flow prediction method and device, computer equipment and a readable storage medium. The method comprises the following steps: acquiring original traffic data of a target road section within a preset duration; processing the original traffic data to obtain influence parameters of external factors on the traffic flow of the target road section; processing the original traffic data according to the influence parameters to obtain corrected traffic data; dividing the corrected traffic data to obtain training set data and test set data; training an initial causal convolutional recurrent neural network model by using the training set data to obtain an intermediate causal convolutional recurrent neural network model; testing the intermediate causal convolutionalrecurrent neural network model by using the test set data to obtain an evaluation result, and determining the intermediate causal convolutional recurrent neural network model as a target causal convolutional recurrent neural network model when the evaluation result meets a predetermined condition; and predicting the traffic flow of the target road section at the to-be-predicted time point by usingthe target causal convolutional recurrent neural network model.

Description

technical field [0001] The present application relates to the technical field of traffic flow prediction, and in particular to a traffic flow prediction method, a traffic flow prediction device, computer equipment, and a non-volatile computer-readable storage medium. Background technique [0002] Traffic plays a vital role in everyone's daily life, and everyone needs to spend a lot of time in traffic every day. In this case, accurate real-time traffic situation prediction is of great importance to road users, private sector and government. Saying is very important. Moreover, traffic services widely used by people, such as flow control, route planning and navigation, also rely heavily on high-quality traffic condition assessment, so it is very meaningful to accurately predict traffic conditions. The purpose of traffic forecasting is based on Historical traffic data within the road network structure predicts the future traffic state of connected road segments. However, the e...

AI Technical Summary

Problems solved by technology

[0003] The embodiments of the present application provide a traffic flow forecasting method, a traffic flow forecasting device, a computer device, and a non-volatile computer-readable storage medium, so as to solve the problem of low prediction accuracy of the existing traffic flow forecasting methods

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