Voronezh, Russian Federation
The article describes the methodology of ranking variables through pairwise correlation in order to improve urban transportation management. This approach avoids multicollinearity, reduces the time required for modeling, and increases the accuracy of forecasts, which is confirmed by practical research at the Voronezh enterprise.
algorithm of variables ranking, pair correlation coefficient, urban passenger motor transport, method of group consideration of arguments, transportation management, predictive models
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