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:
  • Vehicle classification
  • Automatic vehicle classification
  • Vehicle weight
  • Data collection
  • Data sharing
  • 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.
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• Format:
  PDF
• Funding:
  DE-AC05-96OR22464
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/6032/dot_6032_DS1.pdf
• File Type:
  [PDF - 610.35 KB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha256:cf75ad8c9db46e7a953f8726bd94510223ec2b47c31b41c4cedd22b1baa74a30