Advances in traffic data collection and management : white paper.

Author(s)
Middleton, D. Gopalakrishna, D. & Raman, M.
Year
Abstract

This white paper identifies innovative approaches for improving data quality through Quality Control. Quality Control emphasizes good data by ensuring selection of the most accurate detector then optimizing detector system performance. This is contrasted with Quality Assurance, which identifies defective data (and then attempts to fix it) rather than ensuring the accuracy and reliability of the equipment. The approaches for improving data through Quality Control contained in this paper include innovative contracting methods, standards, training for data collection, data sharing between agencies and states, and advanced traffic detection techniques. (Author/publisher)

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Publication

Library number
C 29797 [electronic version only] /72 /73 / ITRD E823142
Source

Washington, D.C., U.S. Department of Transportation DOT, Federal Highway Administration FHWA, Office of Policy, 2002, 21 p., 25 ref.; BAT-02-006

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This publication is one of our other publications, and part of our extensive collection of road safety literature, that also includes the SWOV publications.