Traffic information predication method based on fruit fly optimization least-squares support vector machine

Abstract

The invention provides a traffic information predication method based on a fruit fly optimization least-squares support vector machine for solving the problem of low predication accuracy of an existing traffic information predication method. The method comprises the following steps: carrying out normalization preprocessing on original traffic information data, normalizing the data into the interval [0, 1], generating a data set, and grouping the data set into a training set and a testing set; selecting a radial basis function as a kernel function of a least-squares support vector machine model, and determining a parameter combination (gamma, sigma); optimizing the parameter combination (gamma, sigma) of the least-squares support vector machine according to the fruit fly optimization algorithm to obtain the optimal value in a global scope; substituting the optimal value into optimized parameters, and establishing a traffic information predication model based on the fruit fly optimization least-squares support vector machine; inputting the data set, and generating a traffic information predication result according to the predication model; carrying out evaluation analysis of predication errors.

Description

technical field [0001] The invention relates to a traffic information prediction method based on a fruit fly optimized least square support vector machine, which belongs to the field of road network traffic planning systems. Background technique [0002] With the construction of transportation infrastructure and the development of intelligent transportation systems, traffic planning and traffic guidance have become the research hotspots in the field of transportation. For traffic planning and traffic guidance, accurate traffic information prediction is of great significance. The quality of traffic information prediction results will be directly related to the effect of traffic control and guidance. Whether it is a traffic control system or a traffic guidance system, real-time and accurate traffic information prediction is the premise and key to the realization of these systems. Therefore, the more traffic information prediction are getting more and more attention. The traf...

AI Technical Summary

Problems solved by technology

[0004] The present invention aims at the problem that the prediction accuracy of the existing traffic information prediction model is not high, and provides a traffic information prediction method based on fruit fly optimization least squares support vector machine, which can effectively improve the prediction accuracy

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