Highway congestion level judgment method based on multi-model fusion

Abstract

The invention discloses a highway congestion level judgment method based on multi-model fusion. The method comprises the steps of (S1) acquiring highway traffic history data and performing normalization processing, (S2) presetting a number K of congestion levels according to normalized data, carrying out K-means clustering analysis on the data to obtain a congestion level of the historical data, which is a judgment model, (S3) classifying and analyzing normalized highway traffic real-time data by using different classification algorithms according to the congestion level of the historical data, and obtaining multiple congestion levels of the real-time data, which is a classification model, and (S4) fusing the classification model by the judgment model and obtaining the real-time congestionlevel of a highway. According to the method, the historical data is used as a model, a plurality of classification algorithms is used to simultaneously train the model, results obtained by the modelsare fused, and the discrimination accuracy is effectively improved.

Description

technical field [0001] The invention relates to the field of data analysis, in particular to a method for judging expressway congestion levels based on multi-model fusion. Background technique [0002] With the rapid development of my country's economy and the acceleration of social progress, the traffic capacity of the expressway network has been unable to meet the growing traffic demand. Traffic congestion and congestion have become more and more serious. The traffic congestion level can be judged from a global perspective. Real-time reflection of the service level of the road network is an important basis for the coordination of the traffic control system and the traffic flow guidance system. The identification of traffic congestion level can provide accurate information of traffic operation status to traffic managers while reflecting the objective operation status of traffic flow. When the results of this discrimination are provided to traffic system managers and decisio...

AI Technical Summary

Problems solved by technology

[0004] Aiming at the above-mentioned deficiencies in the prior art, a method for judging highway congestion levels based on multi-model fusion provided by the present invention solves the problem of low accuracy in judging existing congestion levels

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