ECONOMIC–GEOGRAPHICAL METHOD DELIMITING WAGON FLOWS IN THE REGION CONSIDERED: MODEL AND ALGORITHM

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Transport Problems

Silesian University of Technology

Subject: Economics, Transportation, Transportation Science & Technology

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VOLUME 13 , ISSUE 2 (June 2018) > List of articles

ECONOMIC–GEOGRAPHICAL METHOD DELIMITING WAGON FLOWS IN THE REGION CONSIDERED: MODEL AND ALGORITHM

Oleg Chislov * / Viktor Bogachev / Vyacheslav Zadorozhniy / Taras Bogachev

Keywords : traffic simulation, freight traffic, operator company, railway station, oligopolistic market, Cartesian ovals, Pascal’s limaçon, software package

Citation Information : Transport Problems. Volume 13, Issue 2, Pages 39-48, DOI: https://doi.org/10.20858/tp.2018.13.2.4

License : (CC BY 4.0)

Published Online: 31-July-2018

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ABSTRACT

The problem of effective management of the railway freight flows in the conditions of the multiplicity of operators requires the rationalization of the transportation process. The further development of the authors’ research on creating the mathematical model of the railway freight flows in the region transportation and technological system is presented. For the first time, the theory of algebraic curves of higher orders is used to create a territorial model of the oligopolistic market of freight traffic. The algorithm for creating a model of freight transportation is based on the analysis of the qualitative and quantitative indicators of the operator company in the considered region with the use of analytical, heuristic, and graphic capabilities of math software. The theoretical substantiation of the territorial picture, the freight transportation market in the region is obtained. The carried-out research allows to specify possible ways of optimization of freight traffic distribution.

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Zhang, Y.Z. & Wang, J.Q. & Hu, Z.A. Optimization Model of Transportation Product Selection for Railway Express Freight. Journal of Engineering Science and Technology Review. 2016. No. 9(5). P. 104-110.

 

Spieckermann, S. & Vosz, S. A case study in empty railcar distribution. European Journal of Operational Research. 1995. Vol. 87. No. 3. P. 586-598.

 

Combes, F. & Tavasszy, L. Inventory theory, mode choice and network structure in freight transport. European Journal of Transport and Infrastructure Research. 2016. No. 16 (1). P. 38-52.

 

Naumov, V. & Nagornyi, & I. Litvinova, Y. Model of multimodal transport node functioning. The Archives of Transport. 2015. No. 4. P. 43-54.

 

Knoop, V. & Hoogendoorn, S. An Area-Aggregated Dynamic Traffic Simulation Model. European Journal of Transport and Infrastructure Research. 2015. No. 15 (2). P. 226-242.

 

Задорожний, В.М. Модель распределения вагонопотоков операторской компании в трансортных узлах в условиях олигополии. «Транспортные системы: тенденции развития». Москва: МИИТ. 2016. P. 383-386. [In Russian: Zadorozhniy, V.M. Distribution model wagon flow operating companies in the transportation hubs under oligopoly conditions. In: Transport systems: development trends. Moscow: MIIT].

 

Крыньский, Х.Э. Математика для экономистов. Москва: Статистика. 1970. 580 p. [In Russian: Krynsky, H.E. Mathematics for economists. Moscow: Statistics].

 

Богачев, В.А. & Богачев, Т.В. Использование информационных технологий при изучении математических дисциплин. Комплексный анализ. Теория операторов. Математическое моделирование. Владикавказ: Изд-во ВНЦ РАН. 2006. [In Russian: Bogachev, V.A. & Bogachev, T.V. The use of information technology in studying mathematical subjects. Complex analysis. Operator theory. Mathematical modeling. Vladikavkaz: Eastern Scientific Centre of Russian Academy of Sciences].

 

Числов, О.Н. & Богачев, В.А. & Задорожний, В.М. & Богачев, Т.А. Распределение вагонопотоков операторской компании в припортовых транспортных узлах методом экономикогеографического разграничения. Известия ПГУПС. 2016. No. 3. P. 302-313. [In Russian:Chislov, O.N. & Bogachev, V.A. & Zadorozhniy, V.M. & Bogachev, T.V. Distribution of carload streams of the operator company in the port transport junctions by the method of economic-geographical differentiation. Izvestia of PGUPS].

 

Wang, X. & Meng, Q. & Miao, L. Delimiting port hinterlands based on intermodal network flows: Model and algorithm. Transportation Research Part E: Logistics and Transportation Review. 2016. Vol. 88. P. 32-51.

 

Первая грузовая компания. Available at: http://www.pgkweb.ru/ [In Russian: First Freight Company].

 

Мамаев, Э.А. & Филатов, И.Н. Как планировать парковый оптимум. Мир Транспорта. 2009. No. 2. P. 100-103. [In Russian: Mamaev, Е.А. & Filatov, I.N. How to plan a park optimum. World of Transport].

 

Chislov, O.N. & Mamaev, Е.А. & Gudа, A.N. & Zubkov, V.N. & Finochenko, V.А. Algorythmic and software support of efficient design of railway transport technological systems. Rostov State Transport University. Paper Accepted for IJAER Paper Code: 50231 International Journal of Applied Engineering Research. 2016. Vol. 11. No. 23. P. 11428-11438. ISSN 0973-4562. Available at: http://www.ripublication.com.

 

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