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.


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    Title :

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


    Additional title:

    Advs in Intelligent Syst., Computing


    Contributors:

    Conference:

    International Scientific Siberian Transport Forum ; 2019 ; Novosibirsk, Russia May 22, 2019 - May 27, 2019



    Publication date :

    2020-01-31


    Size :

    7 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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