摘要: |
The Virginia Department of Transportation (VDOT) has made significant investments in the traffic-monitoring infrastructure that supports intelligent transportation systems (ITS). The purpose of this infrastructure is to provide accurate, real-time information on the status of the transportation system; thus it is critical that the monitoring infrastructure provide accurate data. Although detectors are usually tested immediately after installation, it is well known that they operate in a very harsh environment and thus are susceptible to degradation in accuracy and/or complete failure. Consequently, a long-term commitment to data quality assurance is required through maintenance, data quality assessment testing, and repair/replacement. The quality of data from ITS applications is becoming increasingly important as the data are more widely used. Not only is the data used in real-time operations, but also in myriad other, often more traditional, transportation applications. The purpose of this research project was to develop a procedure that VDOT could use to assess its ITS data quality. The report includes a data quality assessment procedure that is based on theory, practice, and empirical investigation. |