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The Wisconsin Department of Natural Resources and Department of Transportation (WDOT) are conducting a joint study to determine the effectiveness of applying optical sensing techniques to vehicular emission monitoring. Two field studies using Remote Sensing Technologies, Inc. remote sensing equipment was conducted in 1993 and 1994. This paper describes the data handling and data validation activities of these studies, including identification of data elements. Data handling was performed by the same people who conducted the 180,000 vehicle emissions tests. A contemporary commercial spreadsheet from Borland International, Inc. was used to import the raw data from the remote sensor. The data was reviewed with the spreadsheet then moved into a Borland relational database product. The relational database permitted structured queries against databases of vehicle inspection/maintenance (I/M) data from WDOT, National Insurance Crime Bureau, and EnviroTest. We determined effective cut points for vehicles of different ages which delineated high-polluting vehicles (gross emitters) from vehicles in compliance. The I/M data was also used to intercompare the remote sensing results with traditional testing results. Remote sensing test results were then compared for errors of commission and omission with respect to I/M test. Ultimately, this remote sensing database technique could serve as a means for identifying gross emitters who would be required to visit an I/M facility for an out-of-cycle emissions test.© (1995) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only. |
