Development of a Model for Monitoring and Analysis of Road Traffic Using an Algorithm for Neural Networks

Abstract

An accident in road transport causes enormous material and moral damage both to society as a whole and to individual citizens. Ensuring road safety (ERS) is an integral part of the national tasks of ensuring personal security, solving demographic, social and economic problems, as well as improving the quality of life and promoting the development of regions. Development of a model for representing the dependence and influence of the identified factors and road parameters on the potential number of traffic violations. The results of this study can be used both by the traffic police in the process of developing measures to reduce accidents in road sections, and by specialized private organizations to decide on the installation of a photo-video fixation complex by analyzing its potential effectiveness in a certain section of the road.

Using of Smart Contracts in Logistic Information Systems Services and the Ways to Review it

“…Communication processes within this network are protected by cryptographic encryption to ensure reliable identification of the recipient and sender of information. Adding facts to the register requires reaching a consensus between the network nodes; this consensus is called a block (Al Halaybeh, Besoul, & Al Salaimeh;Al Salaimeh, 2017).…”