周庆梅,何希平.地铁乘客流量短时预测方法综述[J].重庆工商大学学报(自然科学版),2020,37(1):25-32
地铁乘客流量短时预测方法综述
Review of Methods for Short-Term Prediction of Subway Passenger Flow
  
DOI:
中文关键词:  客流量  短时预测  研究进展
英文关键词:subway passenger flow  short-term prediction  research progress
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作者单位
周庆梅,何希平 1.重庆工商大学 智能制造服务国际科技合作基地重庆 400067
2.工商大学 计算机科学与信息工程学院重庆 400067
3. 重庆工商大学 人工智能学院重庆 400067 
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中文摘要:
      随着地铁线路的日益复杂和人口的日渐增多,导致了地铁承载压力的急剧增加,给地铁的运营调度和管理带来了极大的困难,综述了地铁短时客流量的预测方法,并从近年来研究地铁短时客流量的方法出发,回顾和整理了国内外关于地铁乘客流量短时预测的相关文献,归纳了相关的研究方法;认为目前的研究方法可以分为三类,各有所长,但大部分都忽略了天气,日期和站点的影响,也没有将地铁的进站人数和出站人数分开预测,虽然方法取得了不错的效果,但是还存在一些不足,相关的研究还有大量工作要做,在此基础上提出了相关的建议。
英文摘要:
      In view of the increasing complexity of the current subway lines and the increasing population,the pressure on the carrying capacity of the subway has increased drastically,which has brought great difficulties to the operation and management of the subway. The method of forecasting short-term passenger flow of the subway is summarized in this paper.From the perspective of the current method of predicting short-term passenger flow of the subway,the relevant literatures on short-term prediction of subway passenger flow at home and abroad are reviewed and sorted out,and the related research methods are summarized.It is concluded that the current research methods can be divided into three categories,each with its own strengths,but most of them ignore the influence of weather,date and site,and do not separately predict the number of inbounds and outbounds.Although these methods have achieved good results,there are still some shortcomings,and there is still a lot of work to be done in related research. Therefore,relevant suggestions are put forward on this basis.
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