多编组模式下城市轨道交通列车救援组织方案优化研究
赵丹丹1柏赟1曹耘文2朱巧珍1庄黄蕊1
Optimization of Urban Rail Transit Train Rescue Organization Scheme under Multi-formation Mode
ZHAO DandanBAI YunCAO YunwenZHU QiaozhenZHUANG Huangrui
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作者信息:1.北京交通大学综合交通运输大数据应用技术交通运输行业重点实验室， 100044， 北京
2.上海轨道交通运营管理中心， 200070， 上海
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Affiliation:Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, 100044, Beijing, China
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关键词:
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Key words:
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DOI:10.16037/j.1007-869x.2022.03.009
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中图分类号/CLCN:U298.6;U231
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栏目/Col:研究报告
摘要:
采用多编组模式行车方案的线路，因线路上有不同编组的列车混行，列车发生故障后的救援处置不能完全沿用单编组模式下的处置原则及具体流程。研究了单编组模式和多编组模式下列车救援组织的差异，分析了多编组模式对列车救援方案编制的影响。以总救援时间和线路运能损失的最小化为目标，建立了多编组模式下列车救援方案的编制模型。以上海轨道交通16号线为案例，对多编组模式下的列车救援组织方案进行分析，总结了适用于多编组模式下列车故障救援组织的一般原则。
Abstracts:
For lines adopting multi-formation mode, since there are mixed trains of different formations running on the line, the rescue treatment after failure occurrence cannot completely follow the disposal principles and specific procedures of single formation mode. The difference of train rescue organization between single formation mode and multi-formation mode is studied, and the influence multi-formation mode on the formulation of train rescue plan is analyzed. With the goal of minimizing the total rescue time and transport capacity loss, a model for train rescue plan formulation under multi-formation mode is established. Taking Shanghai Rail Transit Line 16 as study case, the train rescue organization scheme under multi-formation mode is analyzed, and the general principles applicable to rescue organization of failure train under multi-formation mode are summarized.
引文 / Ref:
赵丹丹，柏赟，曹耘文，等.多编组模式下城市轨道交通列车救援组织方案优化研究[J].城市轨道交通研究，2022，25（3）：42.
ZHAO Dandan，BAI Yun，CAO Yunwen，et al.Optimization of Urban Rail Transit Train Rescue Organization Scheme under Multi-formation Mode[J].Urban mass transit，2022，25（3）：42.
ZHAO Dandan，BAI Yun，CAO Yunwen，et al.Optimization of Urban Rail Transit Train Rescue Organization Scheme under Multi-formation Mode[J].Urban mass transit，2022，25（3）：42.
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