Automatic recognition method of congested traffic state and position of congested point of city expressway

Abstract

The invention discloses an automatic recognition method of the congested traffic state and the position of a congested point of a city expressway. The method comprises the following steps that 1, threshold values of traffic parameters of divided lanes of all monitored sections are set; 2, videos / images of vehicles in a field of view are collected and converted to generate traffic data informationof the divided lanes, and the traffic data information of the divided lanes is transmitted to a traffic information processing server; 3, analysis of the congested state and the position of the congested point is conducted by the traffic information processing server by means of real-time traffic data information and a traffic parameter threshold value database; 4, according to user setting, an analysis result and a corresponding suggestion are transmitted to a user terminal. By means of the method, the section position and the lane where a traffic event such as goods dropping or malicious queue jumping or a fault shutdown / illegal parking behavior or a traffic accident happens can be fast judged in first time so that a traffic management department can conveniently and reasonably deal in time, subsequent worse traffic congestion can be avoided, and the rate of secondary accidents can be lowered.

Description

technical field [0001] The invention relates to a method for automatically identifying the traffic congestion state and the location of a congestion point on an urban expressway, which combines road monitoring, image analysis and traffic state evaluation, and belongs to the technical field of traffic congestion monitoring. Background technique [0002] With the rapid increase of car ownership in my country's cities, traffic congestion is becoming more and more serious. Among them, although there are basic reasons for the large traffic demand and the relatively insufficient supply of road infrastructure, there are also "traffic incidents" such as "snail-walking" of vehicles, breakdowns / illegal parking, malicious congestion, dropped goods, and traffic accidents. "occasional traffic jams". [0003] Since the regularity and periodicity of "occasional traffic jams" are not as significant as those of "frequent traffic jams", it is difficult to predict or prevent them in advance; ...

AI Technical Summary

Problems solved by technology

It can be seen that the traffic congestion judging mechanism that is calling the police along the line does not have much practical significance

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