System for calculating traffic flow threshold for controlling traffic signal controller

Abstract

The invention provides a system for calculating a traffic flow threshold for controlling a traffic signal controller. The system comprises a data collection module, a data conversion module, a data compression module, a data transmission module, a central processor module, a display module and an operation module. The data collection module, the data conversion module, the data compression module, the data transmission module and the central processor module are connected in sequence. The display module and the operation module are connected to the central processor module. The system is advantaged in that the traffic flow threshold is obtained by collection, statistics and calculation of big data, and signal lights on a lane or pavement are turned on or off by calculating the threshold, thereby improving the traffic efficiency of a road.

Description

technical field [0001] The invention belongs to the field of traffic monitoring and intelligent video analysis, in particular to a system for calculating and controlling traffic flow thresholds of traffic signals. Background technique [0002] Intelligent video analysis refers to the extraction of useful information from video signals through practical computer technology, and real-time intelligent analysis of video content. Its essence is the process of the computer extracting and understanding the "useful content" in the video. The key to this process is that the computer analyzes, understands, recognizes and takes certain measures on specific events or specific behaviors of targets that occur in the video scene. [0003] With the increasing awareness of public transportation safety, the traffic monitoring system has made great progress and has been widely used. However, most video surveillance systems currently do not have the ability to intelligently analyze video conte...

AI Technical Summary

Problems solved by technology

However, at present, most video surveillance systems do not have the ability to intelligently analyze video content, and all surveillance videos must be processed manually

However, relying on manpower to monitor the videos taken by many cameras has great limitations: first, human energy is limited, and it is impossible to pay attention to video information at any time; second, the video information is huge, and the shots displayed on the video wall at the same time are limited, often Some information worthy of attention will be missed; third, it is difficult to obtain comprehensive analysis of video information, which may easily lead to miscalculation of the situation

Therefore, in fact, a large number of videos only play the role of "post-inquiry", and have not exerted the maximum effect of information processing

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