An AI-based Intelligent Vehicle Routing Approach for Large-scale Fleet Optimization

This research addresses the challenges of urban mobility and logistics by developing an AI-based system for intelligent route prediction and coordination. Using Graph Neural Networks and complementary AI methods, we intend to model heterogeneous fleets to optimize large-scale mobility with real-time decision-making and energy-aware trade-offs.