고처리량 시계열 스트리밍, Apache Kafka/Flink 파이프라인 및 플릿 텔레매틱스

V2XTelemetry는 실시간 교통 지능 및 예측 정비를 위해 Apache Kafka, Apache Flink 및 시계열 데이터베이스를 활용하여 초당 수백만 건의 차량 이벤트를 수집하고 분석합니다.

V2XTelemetry Real-Time Event Streaming & Analytics Architecture V2X Architecture

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

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.

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