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Analysis of Data in Solving the Problem of Reducing the Accident Rate Through the Use of Special Means on Public Roads

В В Кукарцев, А С Михалев, Alexander Stashkevich, Kristina Moiseeva, Igor Kauts

20222022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)59 citationsDOI

Abstract

The purpose of this study is to conduct a statistical analysis of road accidents in the Russian Federation. The article considers ways to reduce accidents and are effective and efficient, as well as statistics given in the period from 1991 to 2019. The main causes of accidents have been identified, which is an essential aspect for reducing the accident rate. The analysis of statistical data on the number of accidents, population, length of roads, number of vehicles other than motorcycles and the general road situation available at the moment and several years ago, as well as the main causes of accidents and measures to reduce accidents. This analysis has led to correct and effective results and solutions to improve the situation on the roads. At the same time, the integrated measures implemented and being implemented at the moment, such as federal targeted, regional and local programs, as well as road safety strategies, are more likely to reduce road accidents. Statistical data and methods used are taken into account, the effectiveness of which is decreasing. Development of methods appropriate to the current situation is a necessity.

Topics & Concepts

Transport engineeringStatistical analysisAccident (philosophy)Road accidentPopulationComputer scienceRoad trafficRisk analysis (engineering)EngineeringBusinessStatisticsEnvironmental healthMathematicsMedicinePhilosophyEpistemologyTransportation Systems and LogisticsEconomic and Technological Systems AnalysisAerospace, Electronics, Mathematical Modeling
Analysis of Data in Solving the Problem of Reducing the Accident Rate Through the Use of Special Means on Public Roads | Litcius