Mathematical model of statistical identification of information support of road transport
https://doi.org/10.20914/2310-1202-2016-1-45-51
Abstract
In this paper based on the statistical identification method using the theory of self-organizing systems, built multifactor model the relationship of road transport and training system. Background information for the model represented by a number of parameters of average annual road transport operations and information provision, including training complex system parameters (inputs), road management and output parameters. Ask two criteria: stability criterion model and test correlation. The program determines their minimum, and is the only model of optimal complexity. The predetermined number of parameters established mathematical relationship of each output parameter with the others. To improve the accuracy and regularity of the forecast of the interpolation nodes allocated in the test data sequence. Other data form the training sequence. Decision model based on the principle of selection. Running it with the gradual complication of the mathematical description and exhaustive search of all possible variants of the models on the specified criteria. Advantages of the proposed model: adequately reflects the actual process, allows you to enter any additional input parameters and determine their impact on the individual output parameters of the road transport, allows in turn change the values of key parameters in a certain ratio and to determine the appropriate changes the output parameters of the road transport, allows to predict the output parameters road transport operations.
About the Authors
V. G. Kozlov
Voronezh state university of engineering technology
Russian Federation
Russian Federation
Associate professor, Department of information security. phone. 89103434840
V. N. Zhuravlev
Voronezh state forestry engineering university named after G.F. Morozov
Russian Federation
associate professor, Department of life safety. phone. 89103434840
Russian Federation
associate professor, Department of life safety. phone. 89103434840
E. V. Kondrashova
Voronezh state agrarian university named after Emperor Peter I
Russian Federation
Russian Federation
professor, Department of technical service and engineering technology. phone. 89103434840
M. M. Umarov
Moscow state forest university
Russian Federation
Russian Federation
applicant, Department of physical education and sport. phone. 89103434840
References
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Review
For citations:
Kozlov V.G., Zhuravlev V.N., Kondrashova E.V., Umarov M.M. Mathematical model of statistical identification of information support of road transport. Proceedings of the Voronezh State University of Engineering Technologies. 2016;(1):45-51. (In Russ.) https://doi.org/10.20914/2310-1202-2016-1-45-51
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