Development of Automated Technology for Planning of Intermodal Transportations on the Basisof Multiobjective Optimization

Бутько, Тетяна Василівна; Костєнніков, Олексій Михайлович; Прохоров, В. М.; Шапатіна, Ольга Олександрівна

doi:10.18664/1994-7852.188.2019.206202

Cited by 1 publication

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“…At the same time, passenger capacity restrictions for railways in most countries of the European Union are much smaller than in Ukraine (Krasheninin, 2016). Therefore, the transportation of a given number of passengers by train is equated to several motor vehicles, which provides cost savings in the case of transportation by rail transport (Butko, 2019). Whereas with multimodal transportation, the cost calculation is made taking into account the transportation along the entire route from the point of departure of passengers to the destination, taking into account several types of transport, which reduces costs and becomes especially profitable when transporting mass passenger flows (Dărăban, 2012).…”

Section: Discussionmentioning

confidence: 99%

Research on the Issue of Prognosticationing the Volume of Passenger Traffic on Railway Transport in Meanrn Conditions

Бутько¹,

Prymachenko²,

Ковальов³

et al. 2023

R. Econ. and Finan.

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Relevance of the research: The relevance of the study is due to the growing demand for passenger transportation in Ukraine and the countries of the European Union in the conditions of demand uncertainty and of the complexity of planning the work of railway operators. Given the fact that the railway transport system is quite inertial, including in the field of passenger transportation, a certain period of time is required for its timely restructuring, when certain factors affect it. The speed of adaptation to new conditions, as well as to their consequences, directly affect the quality of the system. That is why, to obtain the most optimal result, it is necessary to use the data obtained on the basis of prognostication. The purpose of the research: The purpose of the article is to analyze the factors influencing the predictive number of passengers to improve the processes of planning railway routes for the delivery of passengers due to the use of neural networks and minimizing the total cost of transportation. Approaches: Taking into account the specifics of the operation and management of passenger railway transportation is proposed an approach of using a software module based on neural networks as a decision support system regarding planned volumes of passenger traffic for railway operators of Ukraine and other countries. Results: The article presents the results of the software product based on neural networks for the analysis and theoretical generalization of the influence of various factors on the prognostication of passenger flows of transport systems of passenger service, supply chains involving railway transport. The significance of the results: The materials of the article are of practical value for the professional and industrial training of logistics operators, employees of transport companies for scientific and pedagogical workers in order to improve their professional competences.

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Section: Discussionmentioning

confidence: 99%