Road network traffic state judgment method based on MFD + spectral clustering + SVM

Abstract

The invention relates to the field of neural network technical methods, in particular to a road network traffic state judgment method based on MFD + spectral clustering + SVM, and the method comprisesthe following specific steps: (1) firstly, carrying out traffic state grade division on a road network MFD by using a spectral clustering algorithm; (2) training an SVM multi-classifier by using thedivided road network MFD parameters, and giving a model classification result precision evaluation method based on a confusion matrix; and (3) finally constructing an Internet of Vehicles simulation platform, selecting a BP neural network classifier as a comparison classifier, and carrying out truth analysis. In the road network traffic state judgment method based on MFD + spectral clustering + SVM, traffic state grade division is performed on the road network MFD by using a spectral clustering algorithm; then an SVM multi-classifier is trained by using the divided road network MFD parameters,a classification result precision evaluation method is given based on a confusion matrix, finally an Internet of Vehicles simulation platform is built, a BP neural network classifier is selected as acomparison classifier, and truth analysis is carried out.

Description

technical field [0001] The present invention relates to the field of neural network technology and method, and more specifically, relates to a road network traffic state discrimination method based on MFD+spectral clustering+SVM. Background technique [0002] The state of road network traffic objectively reflects the operation of road network traffic, which is the key to improving the efficiency of urban traffic control and management. The road network traffic state discrimination method has always been a research hotspot in the field of intelligent transportation. Generally speaking, it can be divided into two categories: methods based on data mining and methods based on basic traffic flow graphs. [0003] (1) Based on data mining method [0004] Based on the data mining method, it refers to the use of neural network, deep learning, clustering algorithm, support vector machine, Bayesian method and other machine learning algorithms for data mining, so as to automatically de...

AI Technical Summary

Problems solved by technology

[0007] The road network MFD can judge the traffic status of the road network from the macro level, but its classification is too ideal

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