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Title:

Application of Seasonal Adjustment Factors to Subsequent Year Data

Accession Number:

01517503

Record Type:

Component

Availability:

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Washington, DC 20001 United States

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Order URL: http://worldcat.org/isbn/9780309295314

Abstract:

Seasonal adjustment factors are used by state highway agencies to convert short-term traffic counts into estimates of annual average daily traffic (AADT). These factors are typically calculated from continuous traffic counter data. The protocol for the process is described in FHWA’s Traffic Monitoring Guide. This protocol specifies that temporary counts collected during a year should be adjusted by seasonal factors computed from continuous data collected during the same calendar year. The authors had suggested that, if the prior year seasonal factors could be used, AADT estimates would be available soon after temporary counts were collected. This study investigated whether the seasonal factors from sequential years could be applied without loss of statistical accuracy. No significant loss of accuracy was found in estimating AADT when prior-year seasonal adjustment factors were applied to current-year short-term counts of traffic volume. Likewise, no significant loss of accuracy was found when vehicle miles of travel were computed by using prior-year seasonal adjustment factors.

Monograph Accession #:

01548337

Report/Paper Numbers:

14-2876

Language:

English

Authors:

Desai, Harshad
Cunagin, Wiley
Cunagin, Kevin
Hoyt, Denise
Reel Jr, Richard L
Bentz, Steven

Pagination:

pp 143–147

Publication Date:

2014

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Issue Number: 2443
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

9780309295314

Media Type:

Print

Features:

Figures (3) ; References (1) ; Tables (1)

Subject Areas:

Data and Information Technology; Highways; Operations and Traffic Management; I72: Traffic and Transport Planning

Files:

PRP, TRIS, TRB, ATRI

Created Date:

Jan 27 2014 2:59PM

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