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Method of Two-Factor Analysis of Cars Operation in the Road Transport System of Cargo Transportation

  • Elmira AytbaginaEmail author
  • Evgeniy Vitvitskiy
Conference paper
  • 29 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1116)

Abstract

Currently, the issues of providing the high-quality transport services with minimal costs are becoming particularly relevant. The purpose of this work is to increase the efficiency of freight road transport in cities through the development of a two-factor analysis method for the operation of automobiles in the road transportation system of goods. The developed method will allow (by calculation before the test) answering the question of what will happen to the results of cars while simultaneously changing two technical and operational indicators (factors). It is proved that the transportation of goods by vehicles on routes in the cities are carried out in road transport systems of different complexity of the composition and functioning. When solving the problem of establishing the dependence of the simultaneous influence of two significant factors on the resulting indicator, the method of univariate analysis was used - the method of “chain substitutions”, which became most common in the practice and theory of cargo transportation by road. However, a significant drawback of using the “chain substitutions” technique is some identification of the practice of cargo transportation and the method of analysis used. Preliminary studies have shown that the reception of “chain substitutions”, under the conditions of the simultaneous influence of two factors, does not allow obtaining the desired result. The application of the developed heuristic method of two-factor analysis of the vehicles operation in the considered road transport system for the transportation of construction goods will allow both setting such a problem and finding its solution.

Keywords

Cargo transportation Vehicle Construction goods Method Factors Distance Load capacity 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Siberian State Automobile and Highway University (SibADI)OmskRussia

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