| Title | Analysis of vehicle classification and truck weight data of the New England States : is data sharing a good idea? |
|---|---|
| Record ID | 34314 |
| Personal Name Creator |
Schmoyer, Rick; Hu, Patricia S. |
| Source | 18p. in various pagings |
| Corporate Contributor |
Oak Ridge National Laboratory; United States. Department of Energy |
| Publisher | Oak Ridge National Laboratory |
| Publication Date | 19980000 |
| Language | English |
| 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. |
| Rosap ID | dot:6032 |
| Rosap URL | https://rosap.ntl.bts.gov/view/dot/6032 |
| TRT Terms | Vehicle classification; Automatic vehicle classification; Vehicle weight; Data collection; Data sharing; Weigh in motion |
| Classification | NTL - FREIGHT - Trucking Industry; NTL - REFERENCES AND DIRECTORIES - Statistics |
| Geographical Coverage |
New England |
| OCLC | 665169039 |
| Contract Number | DE-AC05-96OR22464 |
| Resource type | Research Paper |
| URL | https://ntlrepository.blob.core.windows.net/lib/34000/34300/34314/00001.pdf |
| Format | |
| Database | NTL Digital Repository |