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Title: ANALYSIS OF FREEWAY TRAFFIC TIME-SERIES DATA BY USING BOX-JENKINS TECHNIQUES
Accession Number: 00308575
Record Type: Component
Availability: Find a library where document is available Abstract: This paper investigated the application of analysis techniques develoepd by Box and Jenkins to freeway traffic volume and occupancy time series. A total of 166 data sets from three surveillance systems in Los Angeles, Minneapolis, and Detroit were used in the development of a predictor model to provide short-term forecasts of traffic data. All of the data sets were best represented by an autoregressive integrated moving-average (ARIMA) (0,1,3) model. The moving-average parameters of the model, however, vary from location to location and over time. The ARIMA models were found to be more accurate in representing freeway time-series data, in terms of mean absolute error and mean square error, than moving-average, double-exponential smoothing, and Trigg and Leach adaptive models. Suggestions and implications for the operational use of the ARIMA model in making forecasts one time interval in advance are made. /Author/
Supplemental Notes: Publication of this paper sponsored by Committee on Freeway Operations. Distribution, posting, or copying of this PDF is strictly prohibited without written permission of the Transportation Research Board of the National Academy of Sciences. Unless otherwise indicated, all materials in this PDF are copyrighted by the National Academy of Sciences. Copyright © National Academy of Sciences. All rights reserved
Monograph Title: Monograph Accession #: 01411553
Authors: Ahmed, Mohammed SCOOK, ALLEN RPagination: pp 1-9
Publication Date: 1979
Serial: ISBN: 0309029724
Media Type: Print
Features: Figures
(8)
; References
(19)
; Tables
(5)
TRT Terms: Uncontrolled Terms: Subject Areas: Highways; Operations and Traffic Management
Files: TRIS, TRB
Created Date: Apr 22 1980 12:00AM
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