Traffic and data preparation for AASHTO DARWin-ME analysis and design.

Wang, Kelvin C.P.; Li, Joshua Q.; Chen, Cheng; Oklahoma State University. School of Civil & Environmental Engineering

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Traffic and data preparation for AASHTO DARWin-ME analysis and design.

2015-02-01
By Wang, Kelvin C.P. ; Li, Joshua Q. ; Chen, Cheng

[PDF-4.58 MB]

English

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Details:

Creators:

Wang, Kelvin C.P. ; Li, Joshua Q. ; Chen, Cheng

Wang, Kelvin C.P. ; Li, Joshua Q. ; Chen, Cheng Less -
Corporate Creators:

Oklahoma State University. School of Civil & Environmental Engineering
Corporate Contributors:

United States. Federal Highway Administration ; Louisiana. Dept. of Transportation and Development

United States. Federal Highway Administration ; Louisiana. Dept. of Transportation and Development Less -
Subject/TRT Terms:

[+]

Cluster Analysis Databases Mechanistic-empirical Pavement Design Software State Departments Of Transportation Traffic Data
Publication/ Report Number:

FHWA/LA.14/538
Resource Type:

Tech Report
Geographical Coverage:

United States
Corporate Publisher:

Louisiana Transportation Research Center
Abstract:

Pavement ME Design (MEPDG/DARWin-ME) is a significant advancement in pavement design, but

requires much more inputs from various sources. Through the transportation pooled fund study TPF-

5(242), a full-production software Prep-ME with comprehensive database features has been developed

to assist state DOTs in data preparation and improve the management and workflow of Pavement ME

Design input data. Prep-ME is capable of pre-processing, importing, checking the quality of raw

Weigh-In-Motion (WIM) traffic data, and generating three levels of traffic data inputs with in-built

clustering analysis methods for Pavement ME Design. A number of additional modules in Prep-ME

may be useful to any highway agency, including those for climate, materials and FWD. The ultimate

goal of Prep-ME is to be the companion tool that can seamlessly communicate with Pavement ME

Design in a full production environment for the local calibration and implementation. This tool can be

used by pavement design engineers to prepare input for Pavement ME Design, but also traffic

engineers to collect better traffic data and manage those data for other applications. In addition, the 1-

mm 3D laser imaging PaveVision3D Ultra technology developed by the research team has been

demonstrated for the potential use of calibrating Pavement ME Design.
Format:

PDF
Funding:

LTRC Project Number: 12-1PF ; SIO Number: 30000424

LTRC Project Number: 12-1PF ; SIO Number: 30000424 Less -
Collection(s):

US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:b6fab41be1f62842d9c39af78abd7a8a08fb9d2b79a5eaa9d03159712d9cbd6f
Download URL:

https://rosap.ntl.bts.gov/view/dot/28640/dot_28640_DS1.pdf
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No Additional Files

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Traffic and data preparation for AASHTO DARWin-ME analysis and design.

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