Active predictive signal control method and system based on video detection

Abstract

The invention discloses an active predictive signal control method and system based on video detection, which collects signal light information in the direction of road traffic and video information of three sections of the road at the same time. The three sections include the front area, middle area, and In the rear area, each section contains vehicle information in each direction of traffic. By optimizing and controlling the vehicle information in the front area, middle area, and rear area respectively, it solves the problem of the traditional time polling method of monitoring video and multi-section video The monitoring provides a comprehensive road vehicle operation situation, and can directly calculate the optimal control strategy of the current cycle, and act on the current cycle to meet the timeliness requirements of traffic flow status response.

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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