Intelligent identification method of road traffic status

Abstract

The invention relates to an intelligent identification method of a road traffic status. In the method, road section traffic statuses are defined into five grades of smoothness, normality, crowdness, blockage and severe blockage, and traffic flow ratios and occupation ratios are both defined into five grades of very small, small, medium, large and very large; a fuzzy reasoning method is used for intelligently identifying the road section traffic statuses; mode combination is carried out to form a fuzzy relation according to the traffic flow ratio, the traffic occupation ratio and a traffic status rule, and then actual measurement data of the traffic flow ratio and the occupation ratio is used as an input to work out a fuzzy set; and finally, the traffic status at that time is obtained by adopting fuzzy decision. The invention has the advantages that the traffic status is synergetically measured by the two main parameters: the traffic flow ratio and the occupation ratio, thus the accuracy is high; only one traffic flow detector needs to be arranged for measuring the traffic flow and the occupation ratio, thus the site construction cost is lower; and the traffic statuses are expandedto five grades, thus the integrity and the systematicness are high.

Description

technical field [0001] The invention relates to an intelligent traffic state identification method applied to road sections, which is used for traffic operation state identification of road sections. Background technique [0002] my country's public safety industry standard GA115-1995 "Road Traffic Congestion Degree and Evaluation Method" defines the traffic status of road sections: for urban road sections, vehicles on the roadway are blocked if the queue length exceeds 1000 meters, and the queue length exceeds 1500 meters. For road sections, vehicles blocked on the roadway with a queue length exceeding 2,000 meters are considered to be blocked, and vehicles with a queue length of more than 3,000 meters are considered to be severely blocked. [0003] To sum up, the traffic status is divided into two grades of congestion and severe congestion, all of which are measured by the length of the queue. This method is intuitive and easy to distinguish, but it also has the following ...

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to seek a kind of intelligent identification method applicable to the traffic state of the road section, and solve the problems of low accuracy, poor applicability, and lack of integrity in the identification of the current road section traffic state

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