Characterization of truck traffic in Michigan for the new mechanistic empirical pavement design guide.

Buch, Neeraj; Haider, Syed W.; Brown, Joel; Chatti, Karim; Michigan State University. Department of Civil and Environmental Engineering

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Characterization of truck traffic in Michigan for the new mechanistic empirical pavement design guide.

2009-12-01
By Buch, Neeraj ; Haider, Syed W. ; Brown, Joel ; ...

[PDF-3.36 MB]

English

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Creators:

Buch, Neeraj ; Haider, Syed W. ; Brown, Joel ; Chatti, Karim

Buch, Neeraj ; Haider, Syed W. ; Brown, Joel ; Chatti, Karim Less -
Corporate Creators:

Michigan State University. Department of Civil and Environmental Engineering
Corporate Contributors:

Michigan. Dept. of Transportation. Construction and Technology Division
Subject/TRT Terms:

[+]

Pavement Design Pavements Pavements--Design And Construction Paving Road Construction Traffic Flow Traffic Flow--Michigan Trucking Trucking--Michigan
Publication/ Report Number:

RC-1537
Resource Type:

Tech Report
Geographical Coverage:

Michigan
Edition:

Final report.
Corporate Publisher:

Michigan. Dept. of Transportation. Construction and Technology Division
Abstract:

The purpose of this study is to characterize traffic inputs in support of the new Mechanistic-

Empirical Pavement Design Guide (M-E PDG) for the state of Michigan. These traffic

characteristics include monthly distribution factors (MDF), hourly distribution factors (HDF)

truck traffic classifications (TTC), axle groups per vehicle (AGPV), and axle load distributions

for different axle configurations. Weight and classification data was obtained and used in this

study from 44 Weigh-in-Motion (WIM) and classification stations located throughout the state

of Michigan to develop Level 1 (site-specific) traffic inputs. Cluster analyses were conducted

to group sites with similar characteristics for development of Level 2 (regional) inputs. Finally

data from all sites were averaged to establish the statewide Level 3 inputs. The effects of the

developed hierarchical traffic inputs on the predicted performance of rigid and flexible

pavements were investigated using the M-E PDG. In addition, the impact of traffic data

coverage (data collection period) was also explored by statistically comparing the performance

differences between one week per month and continuous (year-round) input data. An algorithm

based on discriminant analyses was developed to acquire the appropriate Level 2 traffic

characteristic for pavement design.
Format:

PDF
Collection(s):

US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:5a465d05f978aefa41d11572101447e78151aab95408f1981e1a4ae50c5baebb
Download URL:

https://rosap.ntl.bts.gov/view/dot/18335/dot_18335_DS1.pdf
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Characterization of truck traffic in Michigan for the new mechanistic empirical pavement design guide.

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