Real-time road condition determination method through combined svm and fuzzy determination mode

Abstract

The invention relates to the real-time city road condition information processing field and particularly relates to a real-time road condition determination method through a combined svm and fuzzy determination mode. The method comprises steps that: (1), traffic flow parameters at a fixed point road is acquired by traffic data source equipment; (2), a threshold value algorithm and an svm algorithm are respectively employed to calculate crossing states and road states according to types of the traffic data source equipment, the threshold value algorithm is employed if the equipment has a few of acquisition parameters, and the svm algorithm is employed if the equipment has a plenty of acquisition parameters; and (3), a fuzzy determination rule is employed in combination with the crossing states and the road states to determine a comprehensive traffic state. The method is advantaged in that: 1, the method is used for carrying out real-time city road condition state determination, functions of a traffic management system can be fully performed, so the traffic management system is enabled to timely, comprehensively and accurately master the road network traffic state; and 2, the method further has advantages of scalability, high accuracy and excellent nonlinear processing capability.

Description

technical field [0001] The invention relates to the field of real-time road condition information processing of urban roads, in particular to a method for judging real-time road conditions of roads combined with SVM and fuzzy judgment. Background technique [0002] With the rapid development of the national economy and the acceleration of urbanization, the number of motor vehicles and road traffic flow in my country has increased sharply. The contradiction between the growing traffic demand and the construction of urban road infrastructure has become the main contradiction in urban traffic. , resulting in frequent occurrence of traffic congestion and congestion. [0003] The real-time traffic conditions of urban roads is a very important part of urban traffic, which realizes the real-time assessment of urban road conditions and the induction of traffic congestion and traffic evacuation. It integrates the data collected by various traffic detection devices and evaluates the r...

AI Technical Summary

Problems solved by technology

[0004] Since the fusion model based on probability distribution requires a lot of manual calibration, the workload is large, and it lacks adaptive parameter adjustment for the accuracy of the overall state evaluation of the road network, so the overall evaluation effect is not good.

In order to overcome the lack of intelligence and accuracy of the existing road traffic congestion model algorithm, a new algorithm is proposed to realize the real-time judgment of urban road conditions

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