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

Year: 2024

Type: article

Abstract: 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.

Source: International Journal for Research in Applied Science and Engineering Technology

DOI: 10.22214/ijraset.2024.65564

Author: Advait Khairnar

Language: English

Topic: Robotic Path Planning Algorithms

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: diamond

OpenAlex ID: W4404822351

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