Analysis and Comparison of Urban Rail Transit Passenger Flow Forecast based on Multiple Methods

被引：0
|
作者：
Cui, Yiru [1 ]
Li, Yang [1 ]
机构：
[1] Beijing Jiaotong Univ, Sch Traff & Transportat, Beijing 100044, Peoples R China
来源：
PROCEEDINGS OF THE 2017 6TH INTERNATIONAL CONFERENCE ON ENERGY, ENVIRONMENT AND SUSTAINABLE DEVELOPMENT (ICEESD 2017) | 2017年 / 129卷
关键词：
Urban Rail transit; Passenger Flow Forecast; TRAFFIC FLOW; TIME-SERIES; PREDICTION;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Passenger flow forecast is an important and functional part of urban rail transit operation and management, excellent and accurate passenger flow forecast can guide the operation management to achieve high efficiency and safety. This article mainly discusses the three forecasting models commonly used for passenger flow forecast. In addition, passenger flow data of Beijing urban rail transit were used to do statistical analysis and prediction. Finally, the prediction accuracy, advantages and disadvantages of the three models are compared.
引用
收藏
页码：238 / 242
页数：5
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