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Evaluate transport analytics beyond a single score

Useful evaluation connects the accuracy of a measurement to the decision it is expected to inform.

Computer vision for transport learning and planning

Choose meaningful comparisons

Compare counts, classification or queue estimates with an appropriate reference. State the sampling period and the conditions represented in the test.

Keep errors visible

Report false detections, missed events and missing observations separately. Look for persistent differences across locations or road-user categories.

Review changes over time

Camera movement, construction and seasonal conditions can change input data. Re-evaluate after material changes and record the version used for each report.

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