同济大学学报（自然科学版）2018，Vol.46Issue(3)：346-353,8.DOI:10.11908/j.issn.0253-374x.2018.03.010
城市轨道交通高峰时段站间起讫点矩阵预测模型
Forecasting Model of Peak-Period Station-to-Station Origin-Destination Matrix in Urban Rail Transit Systems
摘要
Abstract
Urban mass transit is playing a significant role in supporting and promoting urban development.An important indicator for the planning and design of urban rail transit may be succinctly summarized by passenger flow models within a peak hour;one important feature of the model is the maximum single-direction flow.To determine this feature,it is necessary to forecast passengers' departure time and route choice during a peak period.As the basis of this process,the peak-period station-to-station origin-destination (OD) matrix reflects passengers' travel needs.This paper tests the traditional gravity models to find the pattern that forecasts the peak-period station-to-station OD matrix in urban rail transit.A real-world case study of Chongqing,China,is used as a model performance measure.To alleviate its over-estimation when the effect of the deterrence function between two stations is too small,the gravity-model-based peak period coefficient (PPC) model is introduced.By comparing the PPC and gravity models using the same dataset,the results indicate that the PPC model is superior to the gravity model.The standard deviation of the PPC model is 12.90 passengers,which is 56.02％ lower than that of the gravity model,which is 29.33 passengers.关键词
城市轨道交通/站间客流/高峰时段系数/重力模型/交通阻抗函数Key words
urban rail transit/station-to-station ridership/peak period coefficient/gravity model/deterrence function分类
交通工程引用本文复制引用
成艳,叶霞飞,王治,周利锋..城市轨道交通高峰时段站间起讫点矩阵预测模型[J].同济大学学报（自然科学版）,2018,46(3):346-353,8.基金项目
上海市自然科学基金(15ZR1443300) （15ZR1443300）
