Route Optimization Dataset for Large-Scale AGV Systems with 1000 units in Japanese Logistics Warehouses

This study proposes a new approach for optimizing the routing of 1,000 Automated Guided Vehicles (AGVs) in large-scale logistics warehouses using Quantum Annealing (QA). As logistics operations grow, efficient AGV route planning is essential to ensure smooth, safe, and time-efficient transportation, especially in high-density AGV environments. By utilizing quantum mechanics, QA effectively addresses the complex challenges inherent in large-scale AGV management.