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考虑旅客需求的可变编组动车组运用优化方法研究

Research on Optimization of Flexible Train Composition Circulation Plan Considering Passenger Demand
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摘要 同一交路中固定编组动车组列车的运输能力(席位能力)相同,但所服务区段的旅客出行需求强度并不同,由此可能造成运力浪费。为合理运用动车资源,考虑利用可变编组动车组列车,为同一交路提供与客流需求相匹配的席位能力。基于给定列车时刻表及各列车OD客流需求,以有限动车资源下客票收入最高为优化目标,构建高速铁路可变编组动车组运用优化模型,并将非线性规划模型等价转化为线性整数规划进行求解。通过案例计算分析发现:可变编组动车运用方案可以有效提高动车运用效率和客运收入。在动车资源有限情景下,对比固定编组动车运用方案,优化方案的客票收益增幅达8.79%。 For fixed train composition,different trains in the same circulation plan provide the same transport capacity,which may lead to a waste of transport resources when different trains have different intensity of passenger travel demand.To rationally utilize transport resources,flexible train composition was adopted so that different trains in the same circulation can offer different seat capacities to match their different passenger demands.Based on the OD passenger demand of each train in a given train timetable,with the optimization objective of maximizing ticket revenue under limited electric multiple-unit(EMU)resources,a flexible train composition circulation plan optimization model was proposed,which,as a nonlinear programming model,can be equally transformed into an integer linear programming for solution.The case study indicates that the circulation plan of flexible train composition can efficiently improve the utilization rate of EMUs and ticket revenue.With limited EMU resources,the ticket revenue of the flexible train composition circulation plan is 8.79%higher than that of fixed train composition circulation plan.
作者 武晋飞 薛冰 单杏花 WU Jinfei;XUE Bing;SHAN Xinghua(Postgraduate Department,China Academy of Railway Sciences,Beijing 100081,China;Institute of Computing Technology,China Academy of Railway Sciences Corporation Limited,Beijing 100081,China;Passenger Transport Department,China State Railway Group Co.,Ltd.,Beijing 100161,China)
出处 《铁道学报》 EI CAS CSCD 北大核心 2024年第10期1-10,共10页 Journal of the China Railway Society
基金 中国国家铁路集团有限公司科技研究开发计划(K2023X030)。
关键词 动车组运用 可变编组 线性整数规划 旅客需求 客票收益 circulation plan flexible train composition integer linear programming passenger demand ticket revenue
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