Traffic flow speed predicting method and system

A speed prediction and traffic flow technology, which is applied in traffic control system, traffic flow detection, traffic control system of road vehicles, etc., can solve the problem of not fully considering the similarity of traffic flow time, so as to improve the prediction effect and improve The effect of accuracy

Inactive Publication Date: 2017-12-15
CENT SOUTH UNIV
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Secondly, in the different prediction models summarized, it is found that most of the models do not fully consi

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  • Traffic flow speed predicting method and system
  • Traffic flow speed predicting method and system
  • Traffic flow speed predicting method and system

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[0054] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0055] The purpose of the present invention is to provide a traffic flow speed prediction method and system, which have the characteristics of high prediction accuracy.

[0056] In order to make the above objects, features and advantages of the present invention more clearly understood, the present invention will be described in further detail below with reference to the accompanying drawings and specific embodiments.

[0057] figure...

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Abstract

The invention discloses a traffic flow speed predicting method and system. The traffic flow speed predicting method comprises the steps that many sample data is obtained, wherein the sample data is traffic flow speed data acquired at a moment t; a fuzzy neural network model is improved, wherein the step specifically includes sample data classification; parameters in subordinate functions of fuzzy variables in the fuzzy neural network model are determined according to a sample data classification result; a least square estimation method is adopted to optimize a rule function in the fuzzy neural network model; the improved neural network model is adopted to train the sample data, and a neural network prediction value of traffic flow speed at the moment t is obtained. The traffic flow speed predicting method and system have the advantages of high prediction precision.

Description

technical field [0001] The invention relates to the field of traffic flow speed prediction, in particular to a traffic flow speed prediction method and system. Background technique [0002] Traffic flow speed refers to the average instantaneous speed of all vehicles passing through the section collected on the road section. Traffic flow speed is one of the important parameters to evaluate the operation characteristics of traffic flow, which directly reflects the efficiency of road traffic flow operation. Traffic flow speed prediction refers to predicting the traffic flow state in the future period based on the historical traffic flow speed time series data. The predicted results can provide references for advanced traffic information systems, advanced traffic management systems, and advanced traveler information guidance systems, enabling travelers to plan travel routes in advance according to the predicted road network traffic conditions, reduce delays, and alleviate road ...

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Application Information

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IPC IPC(8): G08G1/01G06Q10/04
CPCG06Q10/04G08G1/0125G08G1/0129
Inventor 唐进君刘芳黄合来
Owner CENT SOUTH UNIV
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