Prospects of using a convolutional neural network to prevent road accidents in a populated area

Abstract

This article examines the possibilities of artificial neural networks for the probable avoidance of motor vehicle drivers from traffic accidents, testing was carried out in a populated area. Just as unpredictable road conditions for the driver of a vehicle such as these require maximum concentration. In order to improve safety and comfort, drivers can get vehicles even more efficiently
certain technical support from their vehicles. Software
BDR (road safety) is a component of national security tasks
personal security, solving demographic, social and economic problems, and
as well as improving the quality of life and promoting the development of cities and villages.
After analyzing similar software products, it was found that the number of foreign and Ukrainian companies engaged in development with different architecture of communication network for road transport is constantly growing. Based on the generalized analysis of the current state programs to avoid road accidents, it can be noted that the perspective of creating new methods of coordinating it with the priority tasks and programs of the socio-economic development of Ukraine in the long term is in the field of ensuring global road safety.
This work recommends the use of a system complex of measures, determined by a comprehensive program approach, and a competent analysis of the obtained results shows the development of standards and performance indicators for use in the field of road safety, as well as the use of modern technologies for road users to support road safety, the organization of training level drivers and the international exchange of experience plays an important role in overcoming these problems.
The application of the method of building a convolutional neural network specified in the study for the prevention of road accidents can be applied in the activities of state structures (such as the State Special Transport Service, the Patrol Police of Ukraine, units of the National Security Service of Ukraine, and other central bodies of the state executive power, enterprises, their unions, institutions and organizations)