城市轨道交通潮汐客流特征下停站时间差异化设置研究OA
Differentiated Setting of Dwell Time Based on Tidal Characteristics of Passenger Flow in Urban Rail Transit
目前,城市轨道交通停站时间设置极少考虑高峰期线路上下行方向的潮汐客流特征,有必要开展更加精细的分方向停站时间差异化设置研究.基于线网OD客流数据,通过建立分方向乘客上下车客流计算模型,将进出站时间与地点等点状数据还原为分方向乘客上下车客流数据,并综合考虑车厢拥挤度、乘客排队不均衡系数及携带大件行李系数等影响因素,创建多因子差异化停站时间设置模型,精准匹配线路潮汐客流特征,差异化设置列车在上下行方向的停站时间,以厦门地铁线网为例进行应用和验证.结果表明,模型可以大幅提高列车运行效率,线路单程运行时间最多减少55 s;更好地匹配乘客上下车需求,高峰大客流方向列车终到偏离程度平均改善56%;实现良好的绿色节能效果,高峰大客流方向列车赶点发生频率平均减少62%;有效保障乘客上下车安全性,夹人夹物事件数下降37%.
At present,the setting of dwell time in urban rail transit rarely takes into account the tidal characteristics of passenger flow in the up and down directions of the line during peak periods.Therefore,it is necessary to conduct more refined research on the differentiated setting of dwell time by direction.Based on the OD passenger flow data of the network,a boarding and alighting passenger flow calculation model was established by direction to convert point-type data such as entry/exit time and location into direction-specific boarding and alighting passenger flow data.Considering factors such as the crowding degree in the carriage,the imbalance coefficient of passenger queuing,and the coefficient of carrying large luggage,a multi-factor differentiated model was created for dwell time setting to accurately match the tidal characteristics of passenger flow in the up and down directions of the line.The platform dwell time of trains in the up and down directions was also set differentially.Finally,with the Xiamen subway operating network as a case study,the model was applied and verified.The results show that the model can significantly improve train operation efficiency,with one-way running time of the line reduced by up to 55 s.The boarding and alighting needs for passengers can be better met,with a 56%average improvement rate of the deviation degree of train arrivals in the direction of heavy passenger flow during the peak hours.The good green energy-saving effects can be achieved,and the average occurrence frequency of trains rushing to meet the schedule in the direction of heavy passenger flow during the peak hours has been reduced by 62%.The boarding and alighting safety of passengers can be effectively ensured,with the number of door entrapment incidents in the rail network decreased by 37%.
魏荣华
厦门地铁运营有限公司 线网管控中心,福建 厦门 361022
交通工程
城市轨道交通潮汐客流特征OD上下车客流停站时间差异化设置
Urban Rail TransitTidal Characteristics of Passenger FlowODBoarding and Alighting Passenger FlowDwell TimeDifferentiated Setting
《铁道运输与经济》 2026 (2)
70-79,10
评论