Automotive Telematics: Real-Time Vehicle Data Processing

Connected vehicles generate continuous streams of telemetry: GPS coordinates, engine diagnostics, driver behavior, and environmental sensor data. Streaming SQL processes this data for fleet management, predictive maintenance, usage-based insurance, and autonomous driving analytics.

Telematics Streaming Views

-- Vehicle health monitoring
CREATE MATERIALIZED VIEW vehicle_health AS
SELECT vehicle_id, vin,
  last_value(engine_temp ORDER BY ts) as engine_temp,
  last_value(oil_pressure ORDER BY ts) as oil_pressure,
  last_value(battery_voltage ORDER BY ts) as battery_voltage,
  last_value(odometer ORDER BY ts) as odometer,
  CASE WHEN last_value(engine_temp ORDER BY ts) > 110 THEN 'WARNING'
       WHEN last_value(oil_pressure ORDER BY ts) < 20 THEN 'WARNING'
       ELSE 'OK' END as health_status
FROM vehicle_telemetry GROUP BY vehicle_id, vin;

-- Driver behavior scoring
CREATE MATERIALIZED VIEW driver_scores AS
SELECT driver_id,
  COUNT(*) FILTER (WHERE event='hard_brake' AND ts > NOW()-INTERVAL '1 hour') as hard_brakes_1h,
  COUNT(*) FILTER (WHERE event='rapid_accel' AND ts > NOW()-INTERVAL '1 hour') as rapid_accels_1h,
  AVG(speed_kmh) FILTER (WHERE ts > NOW()-INTERVAL '1 hour') as avg_speed_1h,
  MAX(speed_kmh) FILTER (WHERE ts > NOW()-INTERVAL '1 hour') as max_speed_1h
FROM driving_events GROUP BY driver_id;

Frequently Asked Questions

How much data does a connected vehicle generate?

Modern connected vehicles generate 25+ GB of data per hour from sensors, cameras, and diagnostics. Streaming SQL processes the structured telemetry subset (GPS, diagnostics, events) for real-time analytics.

Can streaming SQL support predictive maintenance?

Streaming SQL computes real-time vehicle health indicators. When patterns match known failure precursors (rising engine temp + dropping oil pressure), alerts trigger maintenance before breakdown.