Agentic Fleet Management Architecture for Real-Time Operations

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Introduces agentic fleet management architecture, a real-time, event-driven system where autonomous agents continuously process streaming data for autonomous operational decisions and closed-loop feedback systems. It details a layered, event-driven architecture with components like edge ingestion, an event streaming backbone (Kafka), stream processing (Flink), agent orchestration, AI/ML inference, command and control feedback, and monitoring. Key capabilities enabled include dynamic route optimization, predictive maintenance, incident detection, autonomous dispatch, energy/fuel optimization, and multi-vehicle coordination. Design principles for production-grade systems emphasize decoupled event streams, stateful processing, exactly-once guarantees, resilient failover, governance, and multi-region support.