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There are anomalies between Miovision bike approach (classification_uid = 2) and bike tmc (classification_uid = 10) volumes #798

@gabrielwol

Description

@gabrielwol

The docs say:

Approach level bicycle counts should be used for the large majority of applications as the data is considered more accurate.

However, for most intersection-approach combinations, bike entrances (classification_uid = 10 AND movement_uid = 7), are fewer in number than bike tmc (classification_uid = 2):

"category" "approach_count" "distinct_intersection_count"
"bike_entrances < bike_tmc" 175 52
"bike_entrances >= bike_tmc" 13 10
"bike_entrances IS NULL AND bike_tmc IS NOT NULL" 30 11
"bike_tmc IS NULL" 13 9
SQL used below. Can remove the last aggregation to see individual intersection/approach combos.
WITH bike_summary AS (
    SELECT
        intersection_uid,
        leg AS approach,
        SUM(volume) FILTER (WHERE classification_uid = 2) AS bike_tmc,
        SUM(volume) FILTER (WHERE classification_uid = 10 AND movement_uid = 7) AS bike_entrances
    FROM miovision_api.volumes
    WHERE
        datetime_bin >= '2023-12-01'::date
        AND datetime_bin < '2023-12-12'::date
    GROUP BY
        intersection_uid,
        leg
),

categories AS (
    SELECT
        intersection_uid,
        approach,
        CASE
            WHEN bike_entrances < bike_tmc THEN 'bike_entrances < bike_tmc'
            WHEN bike_entrances IS NULL AND bike_tmc IS NOT NULL THEN 'bike_entrances IS NULL AND bike_tmc IS NOT NULL'
            WHEN bike_tmc IS NULL THEN 'bike_tmc IS NULL'
            WHEN bike_entrances >= bike_tmc THEN 'bike_entrances >= bike_tmc'
        END AS category,
        bike_entrances,
        bike_tmc
    FROM bike_summary
)

SELECT
    category,
    COUNT(*) AS approach_count,
    COUNT(DISTINCT intersection_uid) AS distinct_intersection_count
FROM categories
GROUP BY category

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