00605638

Component

http://onlinepubs.trb.org...trr/1990/1287/1287-004.pdf

https://scholar.google.co...bson&publication_year=1990

Problems of forecasting freeway traffic variables a few minutes in advance, particularly lane occupancy and the difference between inflowing and outflowing traffic for a short section of freeway, are explored. Methods based on linear time series analysis were found to do reasonably well at forecasting mean values but not so well for those extremes corresponding to the onset of congestion. Techniques based on statistical pattern recognition principles were found to be promising. The most promising of the pattern recognition algorithms was put into use on a section of I-5 and is being field tested.

This paper appears in Transportation Research Record No. 1287, Traffic Flow, Capacity, Roadway Lighting, and Urban Traffic Systems 1990. 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

01411069

p. 29-33

1990

Transportation Research Record

0309050626

Figures (4) ; References (7) ; Tables (2)

Algorithms; Field tests; Freeways; Pattern recognition systems; Statistical analysis; Time series analysis; Traffic congestion; Traffic forecasting

Data and Information Technology; Highways; Operations and Traffic Management; Planning and Forecasting; I71: Traffic Theory

TRIS, TRB, ATRI

Mar 31 1991 12:00AM

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