Intelligent Vehicular Routing and Optimal Resource Allocation Using Deep Reinforcement Learning for Urban VANETs
The proliferation of connected and autonomous vehicles has intensified the demand for robust Vehicular Ad-hoc Networks (VANETs). A critical challenge in urban VANETs is the co-design of efficient routing protocols and optimal communication resource allocation under highly dynamic and resource-constrained conditions. Tr...