High-Throughput Time-Series Streaming, Apache Kafka/Flink Pipelines & Fleet Telematics

V2XTelemetry ingests and analyzes millions of vehicle events per second—leveraging Apache Kafka, Apache Flink, and time-series databases for real-time traffic intelligence and predictive maintenance.

V2XTelemetry Real-Time Event Streaming & Analytics Architecture V2X Architecture

Central Controller: Connected Fleets (x100k) — Protobuf-compressed MQTT/gRPC telemetry streams

Cooperative ITS Nodes & Sidelink Mesh

Connected Fleets (x100k)
Distributed Kafka Cluster
Stateful Apache Flink Cluster
Time-Series Lakehouse
IEEE 1609.2 HSM Root

High-Throughput Time-Series Streaming, Apache Kafka/Flink Pipelines & Fleet Telematics

Core Engineering Areas

Sub-Second Stream Processing (Kafka & Flink) — Correlating telemetry across thousands of moving vehicles in sliding 3-second windows to detect micro-congestion and accidents.
Columnar Time-Series Analytics (ClickHouse) — Blazing-fast analytical queries over trillions of historical GPS points and brake-actuation logs for urban planners.
Chassis Component Predictive Degradation — Machine learning models detecting bearing wear, brake pad thinning, and battery cell anomalies from high-frequency CAN telemetry.

Technical Articles

Related Cluster Architecture Specifications

AutomotiveV2X — Connected Vehicle-to-Everything & Cooperative ITS Architecture
CellularV2X — 3GPP C-V2X Architecture, PC5 Direct Sidelink & Cellular Uu Infrastructure
NRV2X — 5G NR V2X Sidelink, Sub-Millisecond Latency & High-Rate Sensor Sharing
ISACV2X — Integrated Sensing and Communication (ISAC) for Automotive V2X