Abstract
This article considers the issues of dynamics of road safety provision systems in three multiscaled systems (Russia, Volga Federal District or VFD and separate subjects of VFD). The indicator of relative information entropy Hn of road safety provision process was taken as the characteristic of system orderliness. The ideology, methodics and results of quantitative assessment of road safety provision systems information entropy H were considered. Time series of modification of relative information entropy Hn of road safety provision systems in 2004…2018 in Russia, Volga Federal District and individual subjects of VFD were presented. Special attention was paid to consideration of the researched process in the Orenburg region and Samara region. This regions is characterized by non-standard, different from general trend dynamics of information entropy H of road safety provision system. The general conclusion of the article is that during last 15 years information entropy of road safety provision systems significantly decreased, i.e. orderliness of formation process of road traffic participants safety greatly increased. However, results achieved in this sphere by VFD regions are still far from best world results.
Highlights
Management – transfer of manageable system from current state to desirable
This article considers the issues of dynamics of road safety provision systems in three multiscaled systems (Russia, Volga Federal District or VFD and separate subjects of VFD)
The indicator of relative information entropy Hn of road safety provision process was taken as the characteristic of system orderliness
Summary
Management – transfer of manageable system from current state to desirable (i.e. complex of works on practical implementation of image of the future). During management activities structural and technological orderliness of system and its functioning process increases [1]. Any management activity is intended to fight with entropy – process of growth of uncontrolled chaos in system. Quality of management can be accurately measured by evaluation of system entropy and dynamics of its decline. State of any transport-technological system is described by enormous set of different characteristics that can be classified by various features (efficiency, quality of functioning, development speed, etc.) [2, 3]. It is necessary to control dozens of traffic parameters and adjust production process in time.
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