A spatial editing and validation process for short count traffic data : final report, July 2006.
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2006-07-07
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Edition:Final report; July 2001-Dec. 2004.
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Abstract:The Traffic Survey Unit (TSU) manages 40,000 traffic monitoring stations, of which 25,000 are updated annually. ; These counts obtained by TSU play a crucial role in allocation of resources for the maintenance, upgrade, and ; expansion of traffic infrastructure. The need for reliable, edited, and validated traffic count data is well ; acknowledged by the Federal Highway Administration (FHWA) and the American Association of State Highway ; and Transportation Officials (AASHTO). ; The research reported here addressed this need by developing a statistically defensible approach to achieving spatial ; continuity of traffic counts as part of the editing and validation process. The deliverables include GIS-formatted data ; that programmatically identify PTC stations that have anomalous counts. We also provide information for creating ; traffic continuity maps. Identification of problem areas is quick and reduces the burden on NCDOT staff. ; As such, the project will significantly improve the process of validating traffic counts by increasing the accuracy of ; reported counts, by reducing the time delay between data collection and reporting, and by making it easy to provide ; customized reports of traffic counts to NCDOT departments and customers.
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Main Document Checksum:urn:sha256:73ff5094f0c4b2364f5b060b6b248815bb12499ce19aa6c91f1c5428fdba52c8