Road information real-time acquisition device and method based on traffic monitoring video

Abstract

The invention discloses a road information real-time acquisition device and method based on a traffic monitoring video. The device is characterized in that the device comprises a video processor, a network module, a remote server, a data pusher and a data receiver. The 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 road congestion extent ci, and ci is uploaded. A remote server carries out real-time analysis to acquire a road congestion extent value C. The data pusher transmits the information of a congested road to the data receiver, and the data receiver outputs the information. According to the invention, the video processor analyzes the real-time image grayscale; the nuclear method is used to assess and upload the congestion extent; the data pusher transmits the information in real time; the receiver carries out real-time broadcasting; a driver can acquire the road information in real time and can timely plan a route; and congestion is reduced.

Description

technical field [0001] The invention relates to a method for identifying road traffic conditions, in particular to a device and method for real-time acquisition of road conditions 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 reas...

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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