Bridging Policy and Real-World Dynamics: LLM-Augmented Rebalancing for Shared Micromobility Systems

Researchers introduce AMPLIFY, an LLM-augmented framework for optimizing shared micromobility vehicle rebalancing in urban transportation systems. The system combines baseline rebalancing algorithms with real-time AI adaptation to handle emergent events like demand surges and regulatory changes, showing improved performance in Chicago e-scooter data testing.