Abstract
The development of the railway infrastructure, as well as the intensification of exploitation of railways, made it necessary to schedule the motion of trains to prevent their collision and blocking. Railway transport logistic problems aimed at providing the organization of work of rolling stock in the framework of a railway infrastructure are considered. Planning and organization of railway traffic is a key factor to providing safe and effective functioning of the entire railway transportation system. The currently used approach, based on target plans, is not always successful in practice, especially in emergencies resulting from the fluctuation of traffic capacities of a railway infrastructure. A mathematical model of rolling stock logistics is constructed, accounting for all the key specific features of the railway infrastructure. In the framework of the constructed mathematical model, optimization problems for scheduling the traffic of locomotives and trains for an assigned planning interval are formulated. Solution algorithms, assessing time complexity, are presented for all the formulated problems.
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Acknowledgments
The authors thank their colleagues from the Research Institute for Mechanics, Nizhniy Novgorod Lobachevski State University, for their help in preparing this article. The work is financially supported by the Federal Targeted Program for Research and Development in Priority Areas of Development of the Russian Scientific and Technological Complex for 2014–2020 under the contract No. 14.578.21.0246 (unique identifier RFMEFI57817X0246).
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Vlasov, S.E., Starostin, N.V., Timofeev, A.E. (2021). Planning Algorithms in the Decision-Making Support System for Logistic Problems. In: Radionov, A.A., Gasiyarov, V.R. (eds) Advances in Automation II. RusAutoCon 2020. Lecture Notes in Electrical Engineering, vol 729. Springer, Cham. https://doi.org/10.1007/978-3-030-71119-1_14
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DOI: https://doi.org/10.1007/978-3-030-71119-1_14
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