ALGORITHM OF VARIABLES RANKING ON THE BASIS OF PAIR CORRELATION COEFFICIENT FOR OPTIMIZATION OF TARGET FUNCTIONS IN INFORMATION SYSTEMS OF URBAN PASSENGER MOTOR TRANSPORT MANAGEMENT

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.

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Published
2025-08-15
DOI
https://doi.org/10.58168/mstt2025_43-47
Primary Topic
Advanced Research in Systems and Signal Processing
Type
article
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article

ALGORITHM OF VARIABLES RANKING ON THE BASIS OF PAIR CORRELATION COEFFICIENT FOR OPTIMIZATION OF TARGET FUNCTIONS IN INFORMATION SYSTEMS OF URBAN PASSENGER MOTOR TRANSPORT MANAGEMENT

Aleksey Shtepa
Advanced Research in Systems and Signal Processing
article

ALGORITHM OF VARIABLES RANKING ON THE BASIS OF PAIR CORRELATION COEFFICIENT FOR OPTIMIZATION OF TARGET FUNCTIONS IN INFORMATION SYSTEMS OF URBAN PASSENGER MOTOR TRANSPORT MANAGEMENT

Aleksey Shtepa
article en

Abstract

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.

Voronezh State University of Forestry and Technologies (RU)
Openalex Percentile: Top 74%
Advanced Research in Systems and Signal Processing
DOIOpen Access PDFOpenAlex
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ALGORITHM OF VARIABLES RANKING ON THE BASIS OF PAIR CORRELATION COEFFICIENT FOR OPTIMIZATION OF TARGET FUNCTIONS IN INFORMATION SYSTEMS OF URBAN PASSENGER MOTOR TRANSPORT MANAGEMENT — Aleksey Shtepa · (2025) | TGRS Research Map | TGRS