Details:

Creators:
Schmoyer, Rick ; Hu, Patricia S.
Schmoyer, Rick ; Hu, Patricia S. Less -
Corporate Contributors:
Oak Ridge National Laboratory ; United States. Dept. of Energy
Oak Ridge National Laboratory ; United States. Dept. of Energy Less -
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:

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