Analysis of vehicle classification and truck weight data of the New England States : is data sharing a good idea?

Details

• Creators:
  Schmoyer, Rick ; Hu, Patricia S.
• Corporate Contributors:
  Oak Ridge National Laboratory ; United States. Dept. of Energy
• Subject/TRT Terms:
  Automatic Vehicle Classification Data Collection Data Sharing Vehicle Classification Vehicle Weight Weigh In Motion
• Resource Type:
  Research Paper
• Geographical Coverage:
  New England
• OCLC Number:
  665169039
• Corporate Publisher:
  Oak Ridge National Laboratory
• NTL Classification:
  NTL-FREIGHT-Trucking Industry ; NTL-REFERENCES AND DIRECTORIES-Statistics
• Abstract:
  This paper is about a statistical research analysis of 1995-96 classification and weigh in motion
  
  (WIM) data from seventeen continuous traffic-monitoring sites in New England. Data screening is
  
  discussed briefly, and a cusum data quality control procedure is proposed. The main purpose of the
  
  analysis, however, is to infer statistical methods for using data from multiple states in a common
  
  resource data pool. Because data sharing means cross-state extrapolation, the combined data should
  
  not be used without a proper statistical accounting for extrapolation error. Another major concern
  
  in implementing a data-sharing procedure is operational simplicity. Of particular interest are the
  
  possible analytical simplifications of combining vehicle classes (i.e., reducing the number of vehicle
  
  classes used in practice) or combining HPMS roadway functional classes. Adjusting for seasonal
  
  and day-of-week effects is also a concern.
  
  Conclusions based on the analysis are still preliminary. Analysis of the ultimate use of the data
  
  suggests that from the perspective of vehicle load estimation, there is little advantage to combining
  
  vehicle classes. Analysis of both the WIM and classification data suggests that differences among
  
  HPMS functional classes are sufficient to warrant against combining functional classes. But even
  
  without these simplifications, data sharing among states is a good idea. The analysis method used
  
  here, one-way analysis of variance, is reasonably simple (can be done with an ordinary spreadsheet
  
  program), provides an accounting for statistical error, and is thus an appropriate analysis tool for data
  
  sharing.
  
  
• Format:
  PDF
• Funding:
  DE-AC05-96OR22464
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha256:cf75ad8c9db46e7a953f8726bd94510223ec2b47c31b41c4cedd22b1baa74a30
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/6032/dot_6032_DS1.pdf
• File Type:
  [PDF - 610.35 KB ]