Engineering a High-Throughput Vehicle Telematics Ingestion Pipeline for Commercial Fleets

A commercial fleet management company tracking fifteen thousand delivery vans needed a scalable telematics platform to process OBD-II diagnostic streams.

Engineering a High-Throughput Vehicle Telematics Ingestion Pipeline for Commercial Fleets

Challenge

The company's legacy server infrastructure crashed during morning rush hours when thousands of vehicles transmitted high-frequency GPS and CAN bus telemetry data simultaneously. Delayed telemetry processing prevented dispatchers from detecting active engine diagnostic warnings in real time.

Solution

FlipWorks built a high-throughput telematics ingestion pipeline using Apache Kafka and TimescaleDB. The cloud architecture ingests continuous vehicle diagnostic streams, normalizes CAN bus data parameters, and evaluates fault codes in milliseconds to flag urgent mechanical issues.

Result

  • Ingested 100% of high-frequency vehicle telemetry streams during peak morning fleet operations without server crashes.
  • Accelerated engine diagnostic fault code processing, delivering instant alert notifications to fleet managers.
  • Provided fleet directors with real-time fuel efficiency and driver safety scoring dashboards.

Tags

Fleet Management Vehicle Telematics Apache Kafka CAN Bus Predictive Maintenance