Traffic flow prediction method, device and equipment

Abstract

The invention relates to a traffic flow prediction method, device and equipment. The method comprises the following steps: acquiring traffic flow information of an intersection; slicing the traffic flow information based on a preset sampling period to obtain a plurality of pieces of historical traffic flow information, wherein the historical traffic flow information comprises the total phase flow, the corresponding date and time, the sampling period and the flow of each lane of the intersection; constructing a prediction vector data set according to the historical traffic flow information; establishing a Seq2Seq model based on an LSTM network and a coding and decoding structure; obtaining single lane flow prediction information according to the Seq2Seq model and the prediction vector data set; and obtaining the similarity between the flow of each lane of the intersection and the total phase flow according to the flow of each lane of the intersection and the total phase flow so as to obtain total phase flow prediction information. Single-lane flow prediction information is obtained according to historical traffic flow information, and short-time traffic flow information of a single intersection is predicted in combination with correlation of the flow of each lane.

Description

technical field [0001] The present invention relates to the technical field of intelligent traffic, and in particular, to a traffic flow prediction method, device and device. Background technique [0002] With the continuous improvement of the industrialization process, the number of vehicles in the country has increased exponentially. Although my country has relatively complete road traffic infrastructure, it still cannot meet the growing traffic demand, and is subject to urban planning, it is impossible to expand the road infinitely. Maximizing the utilization of limited road resources and meeting people's traffic needs is the main problem that the intelligent transportation system needs to solve. As one of the important functions of intelligent transportation system, traffic flow prediction is the focus of research in the field of transportation in recent years. An accurate short-term traffic flow prediction model is an important prerequisite for intelligent transportation...

AI Technical Summary

Problems solved by technology

It solves the problem that there is only single intersection traffic data in the prior art. Due to the poor correlation and large fluctuation of the traffic flow of each lane at the single intersection, it is impossible to use the deep neural network prediction model to predict the short-term future of the single intersection. Technical issues with traffic flow information when

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