Development of an algorithmic apparatus for ensuring road safety

This article presents one of the scientific results obtained by the author in the course of the dissertation research. The problem considered in the study, namely the problem of ensuring the safety of road users, is raised. It was demonstrated that in megacities the installation of the “necessary minimum set of means” is not observed in all areas, which, in turn, causes violations by road users. Existing methods for assessing and improving the safety of road users are considered, limitations are highlighted. A possible tool for solving the analyzed problem with the aid of the identified restrictions is proposed which is the rational placement of technical means of traffic organization. An algorithmic apparatus has been developed that allows predicting and recommending suitable places for installing technical means of organizing traffic on those streets where they are located either irrationally or not at all based on the Decision Tree machine learning algorithm. A proprietary method for preparing input data with a description of the stages is proposed. The use of the semantic differential method to determine the weights / importance of attributes is proposed. Testing of the developed algorithmic apparatus was carried out both using the example of the “model” and using the example of a real site. It is noted that the proposed algorithm is able to generate a large amount of input data, which will further expand the algorithm and take into account even more various factors. It is expected that the developed algorithmic apparatus will significantly minimize the number of traffic accidents. It is assumed that the scientific results obtained in the research will allow a comprehensive assessment of the problems of organizing traffic in existing built-up areas or areas planned for development.

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