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Design and study of mathematical models of marshalling yards in order to increase productivity and ensure their smooth operation is relevant, since these objects are key elements for the organization of freight transport on the railway network. In this work, we develop a mathematical model for the operation of a marshalling yard in the form of a four-phase queuing system with BMAP flow and group service of requests. Each phase is a non-Markov multichannel queuing system with a finite queue and group service of requests in the channel. For its numerical study, we create and implement a simulation model. The proposed mathematical apparatus and software are tested on for the operating marshalling yard, which is typical and located on the East Siberian Railway. We demonstrate that it allows us to assess the current level of operation, determine the maximum permissible load and find bottlenecks in the structure of the selected station and then eliminate them.
Maksim Zharkov; Anna Lempert; Michael Pavidis. Simulation of Railway Marshalling Yards Based on Four-Phase Queuing Systems. Communications in Computer and Information Science 2021, 143 -154.
AMA StyleMaksim Zharkov, Anna Lempert, Michael Pavidis. Simulation of Railway Marshalling Yards Based on Four-Phase Queuing Systems. Communications in Computer and Information Science. 2021; ():143-154.
Chicago/Turabian StyleMaksim Zharkov; Anna Lempert; Michael Pavidis. 2021. "Simulation of Railway Marshalling Yards Based on Four-Phase Queuing Systems." Communications in Computer and Information Science , no. : 143-154.
Among the micro-logistic transport systems, railway stations should be highlighted, such as one of the most important transport infrastructure elements. The efficiency of the transport industry as a whole depends on the quality of their operation. Such systems have a complex multi-level structure, and the incoming traffic flow often has a stochastic character. It is known that the most effective approach to study the operation of such systems is mathematical modeling. Earlier, we proposed an approach to transport hub modeling using multiphase queuing systems with a batch Markovian arrival process (BMAP) as an incoming flow. In this paper, we develop the method by applying more complex models based on queuing networks that allow us to describe in detail the route of requests within an object with a non-linear hierarchical structure. This allows us to increase the adequacy of modeling and explore a new class of objects—freight railway stations and marshalling yards. Here we present mathematical models of two railway stations, one of which is a freight railway station located in Russia, and the other is a marshalling yard in the USA. The models have the form of queuing networks with BMAP flow. They are implemented as simulation software, and a numerical experiment is carried out. Based on the numerical results, some “bottlenecks” in the structure of the studied stations are determined. Moreover, the risk of switching to an irregular mode of operation is assessed. The proposed method is suitable for describing a wide range of cargo and passenger transport systems, including river ports, seaports, airports, and multimodal transport hubs. It allows a primary analysis of the hub operation and does not need large statistical information for parametric identification.
Igor Bychkov; Alexander Kazakov; Anna Lempert; Maxim Zharkov. Modeling of Railway Stations Based on Queuing Networks. Applied Sciences 2021, 11, 2425 .
AMA StyleIgor Bychkov, Alexander Kazakov, Anna Lempert, Maxim Zharkov. Modeling of Railway Stations Based on Queuing Networks. Applied Sciences. 2021; 11 (5):2425.
Chicago/Turabian StyleIgor Bychkov; Alexander Kazakov; Anna Lempert; Maxim Zharkov. 2021. "Modeling of Railway Stations Based on Queuing Networks." Applied Sciences 11, no. 5: 2425.
Anna Lempert; Alexander Kazakov; Maxim Zharkov. A Stochastic Model of a Transport Hub and Multi-phase Queueing Systems. Proceedings of the Vth International workshop "Critical infrastructures: Contingency management, Intelligent, Agent-based, Cloud computing and Cyber security" (IWCI 2018) 2018, 1 .
AMA StyleAnna Lempert, Alexander Kazakov, Maxim Zharkov. A Stochastic Model of a Transport Hub and Multi-phase Queueing Systems. Proceedings of the Vth International workshop "Critical infrastructures: Contingency management, Intelligent, Agent-based, Cloud computing and Cyber security" (IWCI 2018). 2018; ():1.
Chicago/Turabian StyleAnna Lempert; Alexander Kazakov; Maxim Zharkov. 2018. "A Stochastic Model of a Transport Hub and Multi-phase Queueing Systems." Proceedings of the Vth International workshop "Critical infrastructures: Contingency management, Intelligent, Agent-based, Cloud computing and Cyber security" (IWCI 2018) , no. : 1.