Smart Transportation Systems Machine Learning Application in WSN-Based Digital Twins

Abstract

This proposed system, smart travel companion, harnesses the power of machine learning within wireless sensor networks (WSN) to create digital twins for intelligent transportation systems. This innovative approach aims to optimize travel experiences by leveraging real-time data from sensors and applying machine learning algorithms. The smart travel companion enhances traffic management, improves safety, and provides personalized recommendations for users. This integration of AI and digital twins promises a more efficient and user-friendly transportation system for the future.