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Algorithm for Determining the Optimal Length of the Rail Line by Current Automatic Locomotive Signaling

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TRANSBALTICA XII: Transportation Science and Technology (TRANSBALTICA 2019)

Abstract

The article proposes a mathematical model for determining the optimal parameters of coding sections for transmitting reliable information to a locomotive, taking into account the absence of rail circuits on lines with semi-automatic blocking. On such areas, the length of the rail line should be selected taking into account the transfer of reliable information to the locomotive, depending on many parameters that affect the information transfer path. To determine the optimal parameters of the information transmission line, the problems of deriving equations from a locomotive receiver were considered, taking into account the absence of boundaries, a mathematical model of a rail line was developed, and rail line equivalent schemes along a locomotive receiver of a coding section on a high-speed line were presented. As a result of the work, analytical expressions were determined to determine the current flowing under inductive coils, a simulation model was developed, and studies were carried out to select the optimal parameters. The proposed method of transmitting information to a locomotive, the condition of the track sections, clearly determines the length of the coding section and thereby allows to increase the safety of train traffic.

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Aliev, R., Aliev, M. (2022). Algorithm for Determining the Optimal Length of the Rail Line by Current Automatic Locomotive Signaling. In: Prentkovskis, O., Yatskiv (Jackiva), I., Skačkauskas, P., Junevičius, R., Maruschak, P. (eds) TRANSBALTICA XII: Transportation Science and Technology. TRANSBALTICA 2019. Lecture Notes in Intelligent Transportation and Infrastructure. Springer, Cham. https://doi.org/10.1007/978-3-030-94774-3_36

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  • DOI: https://doi.org/10.1007/978-3-030-94774-3_36

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-94773-6

  • Online ISBN: 978-3-030-94774-3

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