Data Quality

Data is the lifeblood of traffic analysis and management, and the importance of high-quality data cannot be overstated. For network modeling and calibration, estimation of origin-destination trip patterns, evaluation of response plans, and more, the quality of the work depends directly on the quality of the data.

A key aspect of ensuring data quality is evaluating its source. This means assessing:

  • the health of the detectors that capture and transmit the data
  • the accuracy of the data they provide

The work of identifying, assessing, and, if needed, fixing issues with detectors falls under both AMS and corridor preparation, which ensures that the corridor is ready for the ICM system to be deployed and operated. Further information on data quality can be found in the AMS Phase 2 presentation and on the Corridor Preparation page.