Active prediction type signal control method and system based on video detection

Abstract

The invention discloses an active prediction type signal control method and system based on video detection. Signal lamp information in the road passing direction, video information of three sectionsof the road are collected at the same time. The three sections comprise a front area, a middle area and a rear area of the stop line. Each section comprises vehicle information in each passing direction. Vehicle information in a front area, a middle area and a rear area is optimized and controlled. According to the method, the problem of a traditional monitoring video time polling mode is solved.Comprehensive road vehicle running conditions are provided for multi-section video monitoring, the optimal control strategy of the current period can be directly calculated and acts on the current period, and the timeliness requirement of traffic flow condition response is met.

Description

technical field [0001] The present invention relates to the technical field of video detection control, and more specifically relates to an active predictive signal control method and system based on video detection. Background technique [0002] There are more and more urban vehicles. How to alleviate traffic congestion, reduce environmental pollution, and improve traffic management efficiency under the premise of ensuring traffic safety under the existing road environment is an urgent problem that every city needs to solve. [0003] At present, real-time dynamic optimization of traffic lights based on traffic flow is an important means to alleviate urban traffic congestion. Many companies are also trying to make some signal optimization control systems to alleviate congestion, but the implementation effect is not good. Mainly for the following reasons: [0004] Existing video detection basically uses a camera, and there are many blind spots in the video seen, which cannot...

AI Technical Summary

Problems solved by technology

This cannot respond to the current traffic flow conditions in a timely manner

[0007] 4. At present, the signal optimization is mainly based on vehicles, regardless of the number of passengers on the vehicle, resulting in many vehicles passing through in one green light cycle, but the total number of people passing is not necessarily large, so that the per capita travel time has not been reduced, and it cannot reach the maximum. excellent control effect

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