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作 者:张璞 赵鹏[1,2] 乔珂[1] 温鹏程 ZHANG Pu;ZHAO Peng;QIAO Ke;WEN Pengcheng(School of Traffic and Transportation,Beijing Jiaotong University,Beijing 100044,China;Frontiers Science Center for Smart High-speed Railway System,Beijing Jiaotong University,Beijing 100044,China)
机构地区:[1]北京交通大学交通运输学院,北京100044 [2]北京交通大学智慧高铁系统前沿科学中心,北京100044
出 处:《铁道学报》2022年第2期8-15,共8页Journal of the China Railway Society
基 金:中央高校基本科研业务费(2020JBZD008)。
摘 要:当列车运行受到干扰时,快速有效地调整偏离计划的列车,使其尽快恢复正常运行是铁路运输组织的重要内容。高速铁路列车的晚点会导致部分换乘旅客无法正常换乘,通过描述这部分旅客和列车在换乘站的耦合关系,建立最小化列车总晚点时间和换乘失败旅客数量的多目标混合整数线性规划模型,并使用ε约束法对多目标进行转化,采用标准求解器GUROBI 9.1.1求解。以京沪和胶济两条线路上部分区段构成的网络为例,验证模型的可行性和有效性。结果表明:该方法适用于不同干扰场景并能够快速获得一组综合考虑高速铁路列车行车秩序恢复和保证旅客换乘的近似Pareto最优调整方案,可供调度人员根据实际情况进行选择,辅助决策。In a situation where train operation is disrupted,efficient rescheduling of disrupted trains to ensure them to recover from the disruption is an important content of the adjustment and optimization of railway transportation organization.The delay of high-speed train will cause failure of some transfer passengers to transfer normally.By describing the coupling relationship between passengers and trains at the transfer station,a multi-objective mixed integer linear programming model was established to minimize the total delay time of trains and the number of passengers failing to transfer.Theεconstraint method was used to transform the multi-objectives and the standard solver GUROBI 9.1.1 was used to solve the model.The feasibility and effectiveness of the model were verified based on a case study of the network formed by the sections of Beijing—Shanghai and Jiaoji railways.The results show that this method,considering both high-speed train timetable rescheduling and passenger transfer,can be applied to different interference scenarios and obtain a set of approximate Pareto optimal adjustment schemes quickly,which can be used by dispatchers to make choices according to the actual situation and assist in decision-making.
分 类 号:U292.4[交通运输工程—交通运输规划与管理]
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