Optimization of traffic data collection for specific pavement design applications.

Papagiannakis, A.T.; Bracher, M.; Li, J.; Jackson, N.; Nichols Consulting Engineers; Washington State University. Dept. of Civil and Environmental Engineering

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Optimization of traffic data collection for specific pavement design applications.

2006-05-01
By Papagiannakis, A.T. ; Bracher, M. ; Li, J. ; ...

[PDF-545.86 KB]

English

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Details:

Creators:

Papagiannakis, A.T. ; Bracher, M. ; Li, J. ; Jackson, N.

Papagiannakis, A.T. ; Bracher, M. ; Li, J. ; Jackson, N. Less -
Corporate Creators:

Nichols Consulting Engineers ; Washington State University. Dept. of Civil and Environmental Engineering

Nichols Consulting Engineers ; Washington State University. Dept. of Civil and Environmental Engineering Less -
Corporate Contributors:

United States. Federal Highway Administration. Office of Infrastructure Research and Development
Subject/TRT Terms:

[+]

Data Collection Data Processing Long-Term Pavement Performance Program (U.S.) Pavement Design Pavements--Design And Construction--Data Processing Paving Perpetual Pavements Road Construction Traffic Surveys Traffic Surveys--Data Processing
Publication/ Report Number:

FHWA-HRT-05-079
Resource Type:

Tech Report
Geographical Coverage:

United States
OCLC Number:

769027740
Edition:

Final report; Mar. 2003-July 2005.
Corporate Publisher:

Turner-Fairbank Highway Research Center
NTL Classification:

NTL-HIGHWAY/ROAD TRANSPORTATION-Pavement Management and Performance;NTL-HIGHWAY/ROAD TRANSPORTATION-Materials;NTL-HIGHWAY/ROAD TRANSPORTATION-Design;NTL-HIGHWAY/ROAD TRANSPORTATION-Construction and Maintenance;
Abstract:

The objective of this study is to establish the minimum traffic data collection effort required for pavement design

applications satisfying a maximum acceptable error under a prescribed confidence level. The approach consists of

simulating the traffic data input to the 2002 National Cooperative Highway Research Program (NCHRP) 1-37A

design guide for 17 distinct traffic data collection scenarios using extended-coverage, weigh-in-motion (WIM)

data from the Long-Term Pavement Performance database. They include a combination of site-specific, regional,

and national WIM, automated vehicle classification, and automated traffic recorder data of various lengths of

coverage. Regional data were obtained using clustering techniques. Pavement life was estimated using mean

traffic input and low-percentile input to the NCHRP 1-37A design guide for three levels of confidence: 75

percent, 85 percent, and 95 percent. For each confidence level, ranges in pavement life prediction errors were

estimated. A three-dimensional plot was produced, indicating the maximum error by confidence level for each of

the traffic data collection scenarios analyzed. This plot can be used to establish the minimum required traffic data

collection effort, given the acceptable error and the desirable level of confidence.
Format:

PDF
Funding:

DTFH61-02-D-00139
Collection(s):

Federal Highway Administration
Main Document Checksum:

[+]

urn:sha256:1e00e30f714b660d7a513135b65ed6389fd1ba2e640d76497e0d351699199f7d
Download URL:

https://rosap.ntl.bts.gov/view/dot/790/dot_790_DS1.pdf
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Optimization of traffic data collection for specific pavement design applications.

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