TRB Pubsindex
Text Size:
x

« Prev Next »

Return to Results | New Search

Bookmark and Share

Title:

Combined Short-Term Traffic Flow Forecast Model for Traffic Forecast System of Beijing Olympics 2008

Accession Number:

01126907

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Abstract:

This paper aims to develop a short-term traffic forecasting model for Beijing, the Olympic city, 2008. From a practical view, a combined forecast model is considered, which includes Discrete Fourier Transform (DFT) model, autoregressive model and neighborhood regression model. In order to update weight real-timely, the Bayesian approach is utilized to activate the weight of each sub-model. The proposed model has been being practiced for the Beijing Traffic Forecast System. According to the study, the average relative error of prediction is less than 15%.

Monograph Accession #:

01120148

Report/Paper Numbers:

09-1760

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Sun, Li Guang
Dong, Shen
Chang, Tang Hsien
Lu, Huapu

Pagination:

16p

Publication Date:

2009

Conference:

Transportation Research Board 88th Annual Meeting

Location: Washington DC, United States
Date: 2009-1-11 to 2009-1-15
Sponsors: Transportation Research Board

Media Type:

DVD

Features:

Figures (11) ; References (18) ; Tables (4)

Geographic Terms:

Beijing (China)

Subject Areas:

Highways; Operations and Traffic Management; Planning and Forecasting; I72: Traffic and Transport Planning

Source Data:

Transportation Research Board Annual Meeting 2009 Paper #09-1760

Files:

TRIS, TRB

Created Date:

Jan 30 2009 6:01PM