摘要
客流预测对城市轨道交通的规划与运营具有十分重要的意义,为此研究了一种应用于地铁站点客流预测的灰色预测系统。首先,确定了客流预测的方案,并完成了西安地铁2号线主要站点客流数据的统计。其次,以灰色预测系统为手段,完成了地铁站点的客流预测与误差分析。最后,通过仿真实验说明基于灰色预测系统的地铁客流预测与真实客流增长的规律相吻合,因而此模型对工程人员的客运调度与建设规划起到了一定的指导作用。
Passenger flow prediction is very important to the planning and operation of urban rail transit.This paper studies a grey prediction system and applies it to subway station passenger flow prediction.First of all,the scheme of passenger flow prediction is determined and the statistics of passenger flow data at main stations of Xi'an Metro Line 2 is completed.Secondly,by means of gray prediction system,the metro station passenger flow prediction and error analysis are completed.Finally,the experiment shows that the metro passenger flow prediction based on gray prediction system is consistent with the law of real passenger flow growth,which plays a certain guiding role in the passenger transport scheduling and construction planning of engineers.
作者
郑凯
ZHENG Kai(Department of Electrical Engineering, Xi’an Traffic engineering Institute, Xi’an 710300, China)
出处
《微型电脑应用》
2022年第2期56-59,共4页
Microcomputer Applications
基金
陕西省教育厅科研计划项目资助(20JK0743)。
关键词
灰色系统
城市轨道交通
站点客流
应用研究
gray system
urban rail transit
ite passenger flow
application research
