Abstract
The analysis of the statistics of road accidents on one of the sections of the road network adjacent to the core of the urban agglomeration was carried out, and the percentage ratio of the type of transport used and the number of vehicles in the family was determined using a sociological survey. According to the results of the documentary study, it was determined that Tuesday and Sunday are the most dangerous days of the week with the largest number of road accidents, as well as the most common and frequently occurring types of accidents are collisions and hitting pedestrians. On the basis of mathematical statistics and theory of probability, the correlation dependence between the proposed time ranges is established. The information model has been developed that allows warning the driver about driving on a dangerous section of the road network and using the proposed methods to improve road safety.
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