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“湿轨模式”下翔宇路南站上行方向换乘的运行图优化方案

Optimization Scheme of Train Working Diagram for Upward Transfer at Xiangyulunan Station Under“Wet Track”Mode
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摘要 雨雪霜冻等恶劣天气下,调度员会将列车调整为“湿轨模式”,此时列车由于旅行速度降低导致晚点,使列车在换乘车站的实际到发时间晚于图定时间,影响换乘关系,降低城市轨道交通系统的服务效率。“湿轨模式”下列车晚点可以通过列车运行数据统计分析,针对这种单一线路可预见的列车晚点,为保证线网换乘质量,可对与其换乘的线路运行图进行优化。通过调整运行图冗余时间的分配,完善换乘关系,还可以减少对线网中其他线路的影响。以南京地铁宁高线与机场线在翔宇路南站上行方向同站台换乘为例,优化宁高线在“湿轨模式”下产生晚点后与机场线的换乘关系,并将优化后的机场线运行图投入使用,增加优质换乘列次,减少乘客换乘等待时间,提升地铁服务质量。 In severe weather such as rain,snow,and frost,a dispatcher shall adjust trains to the“wet track”mode.At this time,trains will be delayed due to the reduction in travel speed,which affects the transfer relationship and reduces the service efficiency of the urban rail transit system.Under“wet track”mode,the train delay can be statistically analyzed through train working data.For the foreseeable train delay of a single line,the existing train working diagram can be optimized to ensure the transfer quality of the line network.By adjusting the allocation of redundant time in the train working diagram and improving the transfer relationship,the impact on other lines in the network can also be reduced.In the case of Line S9 and Line S1 of Nanjing Metro,for which passengers transfer on the same platform in the upward direction of Xiangyulunan Station,this paper optimized the transfer relationship between them upon the train delay of Line S9 in the“wet track”mode.Finally,the optimized working diagram of Line S1 was put into operation to increase the number of high-quality transfer trains,reduce the waiting time for passengers to transfer,as well as improve metro service quality.
作者 郭竞文 GUO Jingwen(Transportation Management Division,Nanjing Metro,Nanjing 210012,Jiangsu,China)
出处 《铁道运输与经济》 北大核心 2022年第4期112-118,共7页 Railway Transport and Economy
基金 国家自然科学基金项目(72022003)。
关键词 线网换乘 南京地铁 湿轨模式 列车晚点 列车运行图 Network Transfer Nanjing Metro Wet Track Mode Train Delay Train Working Diagram
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  • 1宁伟华,陈绍顺,王凤山.求解整数规划的混合遗传算法[J].空军工程大学学报(自然科学版),2004,5(6):80-83. 被引量:10
  • 2Corman F, D' Ariano A, Hansen 1. Disruption Handling in Large Railway Networks[C]//Beijing Jiaotong University. 12th International Conference on Computer System Design and Operation in Railways and Other Transit Systems. Beijing WIT Press, 2010:629 640.
  • 3Hansen I. Railway Timetable &Traffic [M]. Hamburg Eurailpress, 2008.
  • 4Hansen I. Railway Network Timetabling and Dynamic Traffic Management[J]. International Journal of Civil Engineering, 2010, 8(1): 19-32.
  • 5Fabris S, Longo G, Medeossi G.An Implementation of Stochastic Blocking Times to Support Timetable Planning[J]. Journal of Rail Transport Planning & Management, 2011,1(2): 1-13.
  • 6Meer D, Goverde R, Hansen 1. Prediction of Train Running Times Using Historical Track Occupation Data[C]//Yosh Hayashi. World Conference on Transport Research. Lisbon Case Studies of Transport Policy, 2010, 1-22.
  • 7Medeossi G. Stochastic Blocking Time Modeling [C]// I.A Hansen. The 5th International Seminar on Railway Operations Modelling and Analysis. Copenhagen: ELSEVIER, 2013: 1-13.
  • 8D' Ariano A, Pacciarelli D, Pranzo M. A Branch and Bound Algorithm for Scheduling Trains in A Railway Network[J] European Journal of Operational Research, 2007, 183(2): 643-657.
  • 9张铭,杜世敏.基于递阶偏好的轨道交通网络化运营换乘协调优化[J].铁道学报,2009,31(6):9-14. 被引量:15
  • 10陈军华,张星臣,徐彬,黄晓波.信息化条件下车站作业标准时间查定方法研究[J].交通运输系统工程与信息,2011,11(3):119-123. 被引量:4

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