On the Applicability of Neural Networks in the Tasks of Detecting Dangerous Movement

The article presents the methods for developing an intelligent system for monitoring and controlling the movement of vehicles. This system allows to reduce accidents on public roads and optimize traffic flows. The system is based on a model in exact mathematical formulations with initial and phase constraints, analytically studied for stability. The article discusses an integrated approach to collecting and marking data on the movement of vehicles. This article is dedicated to the study of the possibility of accurately determining the maneuvers of cars based on data obtained from the accelerometer and gyroscope.