ALGORITHM FOR CLUSTERING AND ANALYZING TRAFFIC ACCIDENT LOCATIONS
One of the problems of modern society in Russia and abroad is the need to reduce the total number of road accidents on the roads and, first of all, the number of people killed and injured. This problem is given serious attention in all developed countries, as evidenced by numerous publications and government programs aimed at solving it. The documents adopted in the Russian Federation at the state level determine the procedure for accounting for road accidents and identifying places of their concentration, on the basis of which information resources are created that provide sufficiently detailed statistical information about road accidents and the values of indicators that characterize their consequences. However, the developed Provisions do not fully take into account the capabilities of modern information technologies in terms of identifying and dynamics of changes in the places of concentration of road accidents, as well as the formation of visual representations for analyzing the impact of implemented measures on the indicators that characterize road accidents. An algorithm is proposed for identifying and ranking the places of concentration of road accidents with the possibility of varying the composition of indicators and factors affecting road accidents, for performing a comprehensive analysis of the places and causes of road accidents and generating data for developing decisions on planning measures aimed at improving the state of affairs in the field of road safety management. The proposed algorithm is based on the FOREL clustering algorithm, which allows you to generate data sets about the places of concentration of accidents in the PostgreSQL DBMS format, which are used in the geographic information portal of the situation center for presentation on electronic maps, which reduces the duration of the process of analyzing the results of accidents and developing solutions to improve road safety.