Intelligent traffic signal light transformation method

Abstract

The invention relates to an intelligent traffic signal light transformation method, which is applied to the field of traffic signal light control at intersections and solves a problem that the green light is still on when the front phase is congested and a problem of how to control a signal light algorithm according to video vehicle data. The intelligent traffic signal light transformation methodcomprises a congestion prediction algorithm, a signal light combination selection algorithm, a preferential green light algorithm and a delayed green light algorithm. The congestion prediction algorithm is adopted, the naive Bayesian, decision-making tree, logistic regression, K-nearest neighbor, random forest, AdaBoost and gradient lifting methods in a statistical machine learning method are applied, historical data collected from video serves as a training data set, four characteristic attributes such as the intersection leaving distance, the average speed, the speed variation and the average density and the congestion condition are enabled to serve as training data, the average speed, the speed variation and the average vehicle density corresponding to the intersection leaving distancerange in the current real-time video of the road are enabled to serve as characteristic attributes, the congestion probability at a certain position after a certain time is predicted by applying the statistical machine learning method, the transformation of the signal lights is controlled according to the congestion probability, and judging the best phase combination, the preferential green lightphase and the green light delay time according to the number of vehicles inspected and calculated by the real-time video of the road.

Description

technical field [0001] The invention relates to a method for intelligently changing traffic signal lights, and the invention relates to a method for changing traffic signal lights, which is applied in the field of control methods for traffic lights at road intersections. Background technique [0002] In the existing traffic signal light control system, by manually setting the green light phase combination (such as the simultaneous green light of the two phases of going straight and turning left or the simultaneous green light of the two opposite straight phases) and the duration, the signal light is set to a fixed pattern, or the video or sensor Coils and other sensing devices collect vehicle data, and simply increase the delay of green lights with vehicle phases on the basis of fixed signal light rotation rules. When all phase lanes have continuous vehicles passing by, the green lights of all phases will be delayed. The best phase combination and the green light duration ar...

AI Technical Summary

Problems solved by technology

[0003] In order to solve the low-efficiency problem of signal light timing and fixed phase rotation, the problem that the front phase is congested but the light is still green, and the algorithm problem of how to control the signal light according to the video vehicle data, the present invention designs a vehicle (including people) traffic and congestion trend. Real-time control of traffic light rotation methods while applying statistical machine learning methods to predict congestion trends

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