Validation of Non-Traditional Approaches to Annual Average Daily Traffic (AADT) Volume Estimation

Fish, Joseph K.; Young, Stanley E.; Wilson, Alana; Borlaug, Brennan

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Validation of Non-Traditional Approaches to Annual Average Daily Traffic (AADT) Volume Estimation

2021-09-01
By Fish, Joseph K. ; Young, Stanley E. ; Wilson, Alana

File Language:

English

Details

Creators:

Fish, Joseph K. ; Young, Stanley E. ; Wilson, Alana ; Borlaug, Brennan
Corporate Creators:

National Renewable Energy Laboratory (NREL) (U.S.)
Contributors:

Jessberger, Steven
Corporate Contributors:

United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information
Subject/TRT Terms:
Publication/ Report Number:

FHWA-PL-21-033
Resource Type:

Tech Report
Geographical Coverage:

United States
Contracting Officer:

Jessberger, Steven
Corporate Publisher:

United States. Department of Transportation. Federal Highway Administration. Office of Highway Policy Information
Abstract:

For this validation study, NREL compiled traffic volume data from permanent traffic counters at over 500 locations across the U.S. These data were used to validate annual average daily traffic (AADT) estimates developed by Streetlight Data using passive data sources. The analysis revealed a strong correlation between estimates derived from passive sources and the permanent counters. However, statistical differences were observed, and deviations from ground truth may be unacceptable for some applications. Toll locations were particularly prone to high errors, possibly due to complex geometry. While the validation sheds light on the utility of AADT estimation from passive sources, its findings were limited by a lack of permanent counter data. It is possible that an analysis using a larger sample size could result in more robust findings.
Format:

PDF
Download URL:

https://rosap.ntl.bts.gov/view/dot/64900/dot_64900_DS1.pdf
File Type:

[PDF - 1.73 MB]
Collection(s):

Federal Highway Administration
Main Document Checksum:

urn:sha-512:e34451c4ed3172056682f547f07d2bc5dd281eebf44ab02c819adfbef9eeeabc4a9b783f0b89b29faedf56859e68a089b52bee10c8f220221f20fde619d201fa

File Language:

English

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