Early warning method and system based on holiday and festival flow prediction algorithm

Abstract

The invention provides an early warning method and system based on a holiday and festival flow prediction algorithm, and the method comprises the steps: firstly obtaining a traffic data set of a whole year and a whole time period, carrying out the preprocessing, fusing the surrounding environment data and weather data of a highway section with the preprocessed traffic data set, and forming a complete traffic data set; the method comprises the following steps: selecting actual traffic data, establishing an ST-GCN model for training by selecting a preset data granularity and adopting a holiday flow prediction algorithm to obtain an optimal ST-GCN model to predict a plurality of target results, establishing an evaluation index according to the actual traffic data and the plurality of predicted target results, evaluating the ST-GCN model by adopting a comparison model, verifying the ST-GCN model as the optimal model, and determining the actual traffic data according to the evaluation index. According to a plurality of target results predicted by the ST-GCN model which is verified to be the optimal model, in combination with the grade division standard of the expressway operation state, the road condition information is marked with different color information, and a picture is generated for display, so that the passing efficiency of the expressway is effectively improved, and the traffic flow trend during holidays and festivals is efficiently and accurately predicted.

Description

technical field [0001] The invention relates to the technical field of smart highways, in particular to an early warning method and system based on a holiday flow prediction algorithm. Background technique [0002] Transportation is a basic, leading and strategic industry in the national economy, an important service industry and an important part of a modern economic system, an important support for building a new development pattern and a solid guarantee for serving the people's better life. The Ministry of Transport has issued a number of documents to guide highway informatization and smart highway construction, among which the cloud control platform will bring subversive changes to the operation and management mode of expressways. Require. In recent years, many provinces and cities have accelerated the construction of smart expressways, among which Beijing, Zhejiang and Jiangsu have greater influence, and the core of the intelligent expressway is the cloud control platf...

AI Technical Summary

Problems solved by technology

One of the disadvantages of this approach is that they process traffic flow information independently each time and do not directly model the dependencies of traffic flow in the time series

For BP neural network prediction algorithm, K nearest neighbor prediction algorithm, random time series and other methods, the range of effective use of data is too small, and parameter settings rely too much on manual experience and debugging. More importantly, these algorithms cannot be used. Spatial feature data, in the context of the highway, in the face of nonlinear structures, the algorithm needs to take into account the spatial features in order to complete the prediction task more effectively

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