Statistical Modelling of Orderliness of Regional Road Safety Provision Systems

All-Russian research-to-practice conference "Ecology and safety in the technosphere: current problems and solutions"

工业技术（总论）

Petrov, A.I.^1 ; Evtiukov, S.A.^2 ; Petrova, D.A.^3

Tyumen Industrial University, 72 Melnikaite str., Tyumen

625000, Russia^1

Saint Petersburg State University of Architecture and Civil Engineering, 4 2nd Krasnoarmeyskaya str., Saint Petersburg

190005, Russia^2

Ural Federal University Named after the First President of Russia B. N. Yeltsin, 16a Chapaev str., Ekaterinburg

620002, Russia^3

关键词: Information entropy;    Manufacturing process;    Number of vehicles;    Relative entropy;    Resource availability;    Russian federation;    Statistical modeling;    Statistical modelling;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/224/1/012033/pdf
DOI  :  10.1088/1755-1315/224/1/012033

学科分类：工业工程学

来源: IOP

【 摘 要 】

the article considers a series of issues connected with the assessment of orderliness of regional road safety provision systems. Success in the improvement of manufacturing processes management depends a lot on the level of system orderliness. This article presents a method of statistical modeling of the orderliness of regional road safety provision systems by assessing the information entropy in the cause-effect chain Population ( P ) - The number of vehicles ( N ) - The number of road accidents ( DTP ) - The number of deaths in road accidents ( PG ). It was found that the range of actual values of relative entropy H n for regional road safety provision systems is [0.7161; 0.9787]. According to the results of held statistical modeling, the classification of regions of the Russian Federation by the orderliness of road safety provision systems processes was developed. During the discussion of the results an assumption, that information entropy of road safety provision systems is determined by resource availability of industry, was made.