Sources of Error in Estimating Truck Traffic from Automatic Vehicle Classification Data

Liu, Gio Xin; Sharma, Satish C.; Thomas, Scott

doi:10.21949/1501509

i

Sources of Error in Estimating Truck Traffic from Automatic Vehicle Classification Data

1998-10-01
By Liu, Gio Xin ; Sharma, Satish C. ; Thomas, Scott
Series Journal of Transportation and Statistics

File Language:

English

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Creators:

Liu, Gio Xin ; Sharma, Satish C. ; Thomas, Scott
Subject/TRT Terms:
Series:

Journal of Transportation and Statistics
DOI:

https://doi.org/10.21949/1501509
Resource Type:

Journal Article
Geographical Coverage:

United States
Corporate Publisher:

United States. Department of Transportation. Bureau of Transportation Statistics
Abstract:

Truck annual average daily traffic estimation errors resulting from sample classification counts are computed in this paper under two scenarios. One scenario investigates an improper factoring procedure that may be used by highway agencies. The study results show consistent and substantial overestimates of truck traffic when truck counts are estimated using adjustment factors obtained from total traffic volume. In the second scenario, better estimates result when the required factors are obtained from a permanent automatic vehicle classifier exhibiting a pattern of truck traffic that is similar to the pattern at the sample count site. A limited research analysis of truck type estimation from sample counts is also presented in this paper.
Format:

PDF
Download URL:

https://rosap.ntl.bts.gov/view/dot/4713/dot_4713_DS1.pdf
File Type:

[PDF - 3.68 MB]
Collection(s):

BTS Products
Main Document Checksum:

urn:sha-512:867b35685f6a082fe9ef0293dd5572bc6026fbf6500c8e297a2ed63bcc830cc1e2763a51bdd6777a63a9e1b2d4b13b8fc6531e0296bba1dccdc416f270b23b80

File Language:

English

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