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

Details

• Creators:
  Buch, Neeraj ; Haider, Syed W. ; Brown, Joel ; Chatti, Karim
• Corporate Creators:
  Michigan State University. Department of Civil and Environmental Engineering
• Corporate Contributors:
  Michigan. Dept. of Transportation. Construction and Technology Division
• Subject/TRT Terms:
  • Pavements
  • Pavement design
  • Road construction
  • Paving
  • Traffic flow
  • Trucking
  • Pavements--Design and construction
  • Trucking--Michigan
  • Traffic flow--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.
  More +
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/18335/dot_18335_DS1.pdf
• File Type:
  [PDF - 3.36 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha256:5a465d05f978aefa41d11572101447e78151aab95408f1981e1a4ae50c5baebb