Real-time online traffic state detection method based on traffic monitoring video

Abstract

The invention discloses a real-time online traffic state detection method based on a traffic monitoring video. The device is characterized in that the device comprises a video processor which is corresponding to each monitoring device, and each video processor is connected with a remote server through a network module. The method comprises the steps that each video processor reads a video image corresponding to a monitoring device; according to acquired pictures, the grayscale value X of each pixel in each picture is acquired, and is compared with a pre-stored parameter value X-1; a nuclear method is used to assess a road congestion extent ci observed from the video processor, and ci is uploaded; and a remote server analyzes each real-time road congestion extent ci to acquire a road congestion extent value C from one intersection to a next intersection. According to the invention, each video processor analyzes the real-time image grayscale; the nuclear method is used to assess and upload the congestion extent; the amount of data transfer is reduced; the server acquires data in real time; and the processing capacity and the effectiveness of traffic information are improved.

Description

technical field [0001] The invention relates to a traffic jam state recognition method, in particular to a real-time online traffic state detection method based on traffic monitoring video. Background technique [0002] Traffic is the foundation of modern society and the lifeblood of human society and economy. People's social behavior is closely related to traffic. In a city, there are a large number of motor vehicles and non-motor vehicles, and the intersections and road sections are complicated. It is very complicated to deal with such a large-scale, dynamic, and highly uncertain distributed system for effective control. work. In the case of no new traffic roads, it is an effective way to quickly solve urban traffic problems through reasonable traffic control to improve the utilization efficiency of roads, and then improve the traffic efficiency. [0003] However, traffic congestion and congestion are becoming more and more serious now. The reasons for the traffic probl...

AI Technical Summary

Problems solved by technology

It takes a lot of time and bandwidth just to transmit these traffic video data to the server, and it takes a lot of time to process the video data to get the analysis data of traffic conditions. It has a long time lag for traffic signal decision-making, and is not suitable for real-time decision-making control of traffic signals.

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