Adaptive Multi-Criteria Indoor Pathfinding Algorithm Using Dynamic User Preferences and Real-Time Data

This paper introduces the Adaptive Multi- Criteria Indoor Pathfinding (AMIP) algorithm, designed to optimize indoor navigation based on user preferences and real- time data. AMIP dynamically balances multiple criteria— distance, time, comfort, and safety—to provide personalized routes in complex environments like hospitals and airports. The algorithm's adaptability ensures efficient navigation even as conditions change, outperforming traditional single-criteria methods.