The Knowledge Graph, which graphically depicts elements including vehicles, sensors, infrastructure, and data flow with their interrelationships, is a potent diagrammatic tool in artificial intelligence for vehicle networks. The graph allows intelligent routing, anomaly detection, and predictive maintenance by including real-time telemetry, V2X (vehicle-to-everything) communication, and road conditions. Embedding artificial intelligence agents into graph nodes creatively lets autonomous cars cooperate dynamically—sharing dangers, traffic optimization, and delay reduction all around. Graph neural networks (GNNs) augmenting this improves learning across linked vehicle systems. Spatial-temporal knowledge graphs could also be used in future developments to consider changing traffic patterns and environmental influences throughout time.

Dear Abhay Eknath Patil ,

The rapid advances in the Internet of Things (IoT) and connected devices have spurred the development of the vehicular networks as a critical component of modern transportation systems. A vehicular networks facilitates seamless communication among vehicles, infrastructure, and other connected

https://arxiv.org/pdf/2304.11098

Regards,

Shafagat