Innovative approaches to optimizing the road safety monitoring system

\nThe article presents a statistical analysis of innovative approaches to optimizing the system for monitoring the level of accidents and social risk, which is aimed at improving the predictive capabilities of the existing system for monitoring road safety indicators on the State Traffic Safety Inspectorate website. The purpose of this study in the field of studying the dependence of the number of social risk and road accidents is a quantitative increase in this kind of accidents on the road network in the Federal Districts. Based on the data obtained, through the use of innovative methods and calculations of social risk, such as artificial intelligence and big data analysis for constructing a safer and more optimal road safety control system. The results of the intellectual research in the field of road safety in the Federal Districts of Russia under consideration allow us to conclude that there are significant opportunities in the work of innovative approaches in the field of ensuring road safety through the introduction of intelligent systems and effective algorithms.\n

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2024-11-28
DOI
https://doi.org/10.1051/bioconf/202414504038/pdf
Primary Topic
Transportation Systems and Logistics
Type
article
Field-Weighted Citation Impact
0.00
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article

Innovative approaches to optimizing the road safety monitoring system

Springer Link (Chiba Institute of Technology)
Transportation Systems and Logistics
article

Innovative approaches to optimizing the road safety monitoring system

article en

Abstract

\nThe article presents a statistical analysis of innovative approaches to optimizing the system for monitoring the level of accidents and social risk, which is aimed at improving the predictive capabilities of the existing system for monitoring road safety indicators on the State Traffic Safety Inspectorate website. The purpose of this study in the field of studying the dependence of the number of social risk and road accidents is a quantitative increase in this kind of accidents on the road network in the Federal Districts. Based on the data obtained, through the use of innovative methods and calculations of social risk, such as artificial intelligence and big data analysis for constructing a safer and more optimal road safety control system. The results of the intellectual research in the field of road safety in the Federal Districts of Russia under consideration allow us to conclude that there are significant opportunities in the work of innovative approaches in the field of ensuring road safety through the introduction of intelligent systems and effective algorithms.\n

Springer Link (Chiba Institute of Technology)
Good health and well-being
Openalex Percentile: Top 65%
Transportation Systems and Logistics
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