Analysis of vehicle classification and truck weight data of the New England States : is data sharing a good idea?
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1998
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OCLC Number:665169039
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NTL Classification:NTL-FREIGHT-Trucking Industry;NTL-REFERENCES AND DIRECTORIES-Statistics;
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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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