Risk-Aware Dynamic Routing (RADR) is a framework integrating Spatiotemporal Graph Neural Networks (ST-GNN) with combinatorial optimization to address logistics network congestion. It predicts future congestion risks using real-time IoT and GPS data, dynamically adjusting routing paths to enhance supply chain resilience.
Risk-Aware Dynamic Routing (RADR) is a smart system that helps delivery services avoid traffic jams and respond to changing demands. It uses AI to predict where congestion will happen and then automatically finds the best, least risky routes, making supply chains more reliable.
RADR, Dynamic Routing, Risk-Aware Routing, Intelligent Logistics Routing
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