Study on Comprehensive Optimization of Electric Multiple Unit Trains Passing Station Route and Rolling Stock Scheduling

Yajing Zheng, Zihan Ma, Wenzhou Jin and J Santos Reyes

Mathematical Problems in Engineering, 2022, vol. 2022, 1-15

Abstract: In order to overcome the contradiction between the rolling stock scheduling problem of EMU at a macro level and the problem of EMU train passing station route at a micro level in some special cases, this paper comprehensively optimizes the electric multiple unit train passing station route and rolling stock scheduling. By taking the operation of the Chinese high-speed railway EMU trains as the actual background and using the actual situation that the first-level inspection and repair cycle time is twice the cycle of a high-speed railway train timetable, based on the establishment of a 48-hour continuous network, a 0-1 type integer linear programming model is constructed. While obtaining the rolling stock scheduling of EMU trains, the EMU train passing station route scheme is obtained. The experimental results show that, compared with solving the problem in two stages, the comprehensive optimization according to the method in this paper can better ensure the feasibility of the passing station route scheme and provide decision support for the actual operation.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:3288109

DOI: 10.1155/2022/3288109

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