Connected Vehicle Telemetry: Real-time Cloud Infrastructure for Automotive OEMs

Modern electric and autonomous vehicles are computers on wheels, producing gigabytes of sensor data every hour. Cloud ingestion architectures must decode raw CAN-bus signals with zero packet loss.

Here is how StackDot designs connected vehicle cloud platforms for automotive manufacturers.

1. CAN Bus Signal Ingestion & Cloud Telemetry Streams

StackDot implemented Apache Flink and Kafka pipelines to process millions of vehicle telemetry events per second, converting binary DBC files into actionable JSON diagnostics.

Automotive Telemetry Specs

• High-frequency CAN-bus message parsing (speed, state of charge, temperature)
• Kafka partition streaming handling 100,000+ connected vehicles
• Time-series database storage using TimescaleDB & InfluxDB

2. Predictive Diagnostics & Component Wear Analytics

Machine learning algorithms monitor battery degradation, brake thermal curves, and motor vibration anomalies to alert fleet owners before roadside failures occur.

OEM service centers receive automated maintenance tickets with exact replacement part recommendations.

Predictive Benefits

• Preventative battery cell replacement prior to thermal runaway
• Automated recall risk reduction for vehicle manufacturers
• Extended warranty management analytics

3. Fleet Compliance, Geofencing, and Safety Audits

Custom geofencing triggers automated speed warnings and logs regulatory compliance records for commercial fleet operations.

Insurance providers leverage driver safety scores to offer dynamic Usage-Based Insurance (UBI) premium discounts.

• Real-time geofence breaches and speed alerts
• Usage-Based Insurance (UBI) driver safety scoring
• Complete regulatory compliance reporting for fleet managers