"GREEN WAVE" MODULE FOR CREATING AN ARTIFICIAL INTELLIGENCE-BASED ADAPTIVE COMPLEX OF ROAD NETWORK PERMEABILITY TO IMPROVE ROAD TRAFFIC SAFETY

This article is about the "Green Wave" module in the creation of an adaptive complex based on artificial intelligence to improve road traffic safety, and the opinions and opinions of research scientists have been deeply studied. The self-adaptive traffic signal control system serves as an effective measure for relieving urban traffic congestion. The system is capable of adjusting the signal timing parameters in real time according to the seasonal changes and short-term fluctuation of traffic demand, resulting in improvement of the efficiency of traffic operation on urban road networks. The development of information technologies on computing science, autonomous driving, vehicle-to-vehicle, and mobile Internet has created a sufficient abundance of acquisition means for traffic data. Great improvements for data acquisition include the increase of available amount of holographic data, available data types, and accuracy.