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Abstract

Traffic sensors are being deployed widely across the nation, and their data are increasingly being archived for use in multiple applications. However, before the data can be used, it is important to ask whether they can be trusted. That question may be addressed through two basic and important value-added services of a traffic data archive. First, data screening checks the feasibility (i.e., are the data reasonable?) and usability of the data already collected. In the second phase, the health of the detection system is continuously monitored to support proactive maintenance of the sensor infrastructure. This research effort focused on developing a methodology to tailor these functions for specific archives. The paper presents the methodology as well as examples of its application in the regional integrated transportation information system of the Washington, D.C., area.

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New Methodology for Customizing Quality Assessment Techniques for Traffic Data Archives

Abstract

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