Forecasting the Section Passenger Flow of the Subway Based on Exponential Smoothing

被引：2
|
作者：
Wang, Yanhui [1 ,2 ]
Jin, Jun [1 ]
Li, Man [3 ]
机构：
[1] Beijing Jiaotong Univ, China Sch Traff & Transportat, Beijing 100044, Peoples R China
[2] Beijing Jiaotong Univ, State Key Lab Rail Traff Control & Safe, Beijing 100044, Peoples R China
[3] Beijing Jiaotong Univ, Sch Traff &Transportat, Beijing 100044, Peoples R China
来源：
SUSTAINABLE DEVELOPMENT AND ENVIRONMENT II, PTS 1 AND 2 | 2013年 / 409-410卷
关键词：
Section passenger flow; Time series analysis; Exponential smoothing; Forecasting;
D O I：
10.4028/www.scientific.net/AMM.409-410.1315
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
Facing the typical big city is into the network operation,currently, it brings some difficulties without the section traffic data obtained in real time to monitor and limit measures. To solve the problem, this paper adopts the second exponential smoothing models based on the historical data at the same period, and forecasts the subway section passenger flow. In this paper, the data is collected a section traffic in Beijing Subway from every Monday to every Friday in March 2013, and the former periods are used as the sample data, and predicts the last day, and compares them with the known data to check error. The result shows the method has a strong practical utility.
引用
收藏
页码：1315 / +
页数：2
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