Перспективы использования машинного обучения в системах безопасности на автодорогах с применением радиочастотной идентификации транспортных средств

Abstract

The study aims to develop an automated security system on roads using machine learning to create a large database and the subsequent identification of “hidden knowledge”. With the help of such a system, it is possible to detect unobvious dependencies between the variables chosen as a predictor and the dependent variable. In addition, having a sufficient database, it is possible to build regression models, identifying coefficients with which this or that feature of an object affects the probability of an accident on a certain section of the road.