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India's Unified Logistics Interface Platform integrates data across FASTag, Vahan, and customs databases into a single queryable framework. Supply chain teams use SQL analytics to identify transit bottlenecks across major freight corridors in 2026.
Sample Freight Transit Query
The following SQL query calculates average transit delay in hours for heavy commercial vehicles traveling along national highway corridors.
-- Query average delay hours per highway corridor for commercial freight
SELECT
corridor_id,
-- Calculate average delay by subtracting expected transit hours from actual duration
AVG(actual_duration_hours - expected_duration_hours) AS avg_delay_hours,
-- Count total completed trips recorded in the log
COUNT(trip_id) AS total_trips
FROM
ulip_freight_logs
WHERE
-- Filter records for the current year 2026
entry_timestamp >= '2026-01-01'
GROUP BY
corridor_id
HAVING
-- Focus on corridors with significant traffic volume
COUNT(trip_id) > 100;What additional indexes or partitioning strategies should be applied to ulip_freight_logs to optimize queries across billions of daily vehicle ping events?
