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ZENG Cuifeng,HOU Yufei,LUO Qin,et al.Modeling of congestion propagation of rail transit passenger flow under delay conditions[J].Journal of Shenzhen University Science and Engineering,2019,36(No.3(221-330)):310-316.[doi:10.3724/SP.J.1249.2019.03310]
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延误条件下的轨道交通客流拥挤传播建模
曾翠峰1,侯宇菲2,罗 钦2,潘伟健1

1)深圳市地铁集团有限公司,广东深圳 518040; 2)深圳技术大学城市交通与物流学院,广东深圳 518118

城市轨道交通; 延误; 客流; 时空传播; 列车运行调整; 延续

Modeling of congestion propagation of rail transit passenger flow under delay conditions
ZENG Cuifeng1, HOU Yufei2, LUO Qin2, and PAN Weijian1

1)Shenzhen Metro Group Co. Ltd., Shenzhen 518040, Guangdong Province, P.R.China2)College of Urban Transportation and Logistics, Shenzhen Technology University, Shenzhen 518118, Guangdong Province, P.R.China

urban rail transit; operation delays; passenger flow; time-space propagation; train adjustment; continuity

DOI: 10.3724/SP.J.1249.2019.03310

备注

为减少突发事件条件下列车运行延误对轨道交通车站客流及运营的影响,采取定性与定量的方法,分析延误列车在轨道交通线路上的时空影响及客流拥挤传播过程,为列车运行调整提供依据.基于列车时刻表与乘客进出闸机数据,通过分析乘客和列车在时空上的衔接关系,构建延误时段列车的时空传播模型,并提出列车运行调整策略.模型综合考虑客流到达量、上车量、下车量、滞留量以及列车载客量之间的关系,反映延误列车在各车站对乘客出行的影响.案例分析表明,延误传播在时空上具有延续性,随着列车在线路上的运行,延误传播影响后续车站,可通过缩短发车间隔时间和扣车等措施有效节省列车平均延误时间.

In order to reduce the impact of train operation delay on passenger flow and operation of rail transit stations under emergency conditions, qualitative and quantitative methods are adopted to analyze the time-space effect of delay trains on rail transit lines and the crowding propagation process of the passenger flow, which provides a basis for train operation adjustment. Based on the timetable of trains and automatic fare collection swiping data of passengers when entering and leaving the station, the relationship between passengers and trains in time and space is analyzed and the time-space propagation model of delayed trains is established. This model comprehensively considers the relationship among the arriving passenger flow, the number of boarding and alighting passengers, the retention number of passengers and the passenger volume to reflect the impact of delayed trains on passengers' travel at each station. Besides, the train adjustment strategies are proposed. Case analysis shows that delay propagation has continuity in time and space. As the train operates on the line, the delays are propagated to follow-up stations, and the average delay time of trains can be effectively saved by shortening the departure interval and detaining trains.

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