快慢车模式下城市轨道交通线路通过能力分析与计算方法
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摘要
分析了快慢车模式下城市轨道交通线路通过能力的影响因素,挖掘因素间的动态交互关系。在研究传统线路通过能力计算方法基础之上,研究了快慢车模式下不同开行比例及越行次数对线路通过能力的影响机理,并分别给出了7种方案下线路通过能力的计算表达式。以上海轨道交通16号线为例,根据给定的已知发车间隔,站间距及越行条件等,计算线路通过能力。通过线路通过能力的计算得出高峰时期线路的运能,从而合理规划和引导客流。可以为高峰时期确定快慢车开行比例提供理论支撑,提升轨道交通服务水平,也丰富了轨道交通开行方案优化的理论体系。
Firstly,the influencing factors of metro carrying capacity in express and local mode are analyzed,the dynamic interactive relationship among various factors is mined. Secondly,by studying the traditional carrying capacity calculation methods,and the influence mechanism under different running ratios and crossing frequencies,seven calculation expressions of metro carrying capacity are presented respectively. Finally,taking Shanghai metro Line 16 for example,the carrying capacity is calculated according to the given intervals,station spaces and over-taking conditions. Through the carrying capacity calculation,the goal of more reasonable planning and passenger guidance will be achieved. This research provides a theoretical support for train ratio determination during the peak time period,improves the service level and enriches the optimization theory system for rail transit running plans.
Firstly,the influencing factors of metro carrying capacity in express and local mode are analyzed,the dynamic interactive relationship among various factors is mined. Secondly,by studying the traditional carrying capacity calculation methods,and the influence mechanism under different running ratios and crossing frequencies,seven calculation expressions of metro carrying capacity are presented respectively. Finally,taking Shanghai metro Line 16 for example,the carrying capacity is calculated according to the given intervals,station spaces and over-taking conditions. Through the carrying capacity calculation,the goal of more reasonable planning and passenger guidance will be achieved. This research provides a theoretical support for train ratio determination during the peak time period,improves the service level and enriches the optimization theory system for rail transit running plans.
引文
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[13]丁小兵,徐行方.基于在途时间的快慢车停站方案优化算法[J].城市轨道交通研究,2016(6):51.
[2] LANDEX A. Methods to estimate railway capacity and passenger delays[D]. Lyngby:Technical University of Denmark,2008.
[3] KHAN M B,ZHOU X. Stochastic optimization model and solution algorithm for robust double-track train-timetabling problem[J]. IEEE Trans Intell Transp Syst,2010,11(1):81.
[4]徐瑞华,罗钦,高鹏.基于多路径的城市轨道交通网络客流分布模型及算法研究[J].铁道学报,2009,31(2):110.
[5]倪少权.城市轨道交通大小交路模式对列车开行方案的优化[J].铁道学报,2013,35(7):21.
[6]左大杰.高速铁路越行站分布对通过能力的影响[J].中国铁道科学,2005,26(3):7.
[7]倪少权.基于TPr/T-S的客专车站通用模型及仿真[J].西南交通大学学报,2013,48(5):26.
[8]毛保华.城市轨道交通与市郊铁路直通运营下通过能力研究[J].交通运输系统工程与信息,2016,16(1):111.
[9]柏赟.考虑列车总晚点和到发均衡性的地铁列车运行调整方法研究[J].交通运输系统工程与信息,2014,14(3):104.
[10]倪少权.高速铁路客运站高峰时段最大通过能力计算模型及算法[J].中国铁道科学,2015,36(6):128.
[11]杨涛,潘寒川.市域轨道交通快慢车组合运营的通行能力研究[J].城市轨道交通研究,2009(10):48.
[12]彭其渊,王培.网络列车运行图的数学模型及算法研究[J].铁道学报,2001,23(1):1.
[13]丁小兵,徐行方.基于在途时间的快慢车停站方案优化算法[J].城市轨道交通研究,2016(6):51.