@article{article_1721729, title={Magnetic Levitation and Intelligent Transportation Systems: Superconductivity and Electrodynamics in Maglev Trains}, journal={Akıllı Ulaşım Sistemleri ve Uygulamaları Dergisi}, volume={8}, pages={70–87}, year={2025}, DOI={10.51513/jitsa.1721729}, author={Arucu, Muhammet}, keywords={Manyetik Levitasyon, Süperiletkenlik, Elektrodinamik, Akıllı Ulaşım Sistemleri, Maglev Trenleri}, abstract={Magnetic levitation (Maglev) technology represents a transformative advancement in high-speed transportation, integrating principles of superconductivity and electrodynamics to enable frictionless motion through electromagnetic suspension (EMS) and electrodynamic suspension (EDS) systems. This study comprehensively examines the underlying physics of Maglev trains, focusing on the critical roles of high-temperature superconductors (HTS) and the interplay of magnetic fields governed by Maxwell’s and London’s equations. Through empirical analysis of operational systems—including Japan’s SCMaglev (EDS) and China’s Shanghai Maglev (EMS)—we quantify performance metrics such as energy efficiency (0.09–0.12 kWh/passenger-km), levitation stability, and scalability. Our findings demonstrate that Maglev systems achieve 30–40% greater energy efficiency compared to conventional high-speed rail, attributed to zero rolling friction, regenerative braking, and aerodynamic optimization. However, challenges persist, including cryogenic cooling demands (77 K for HTS) and infrastructure costs ($20–40 million/km). The integration of intelligent transportation systems (ITS) mitigates these limitations through real-time data analytics, machine learning-driven predictive maintenance, and dynamic control algorithms. We further highlight innovations such as flux-pinned quantum levitation and modular guideways as pivotal for future adoption. This research positions Maglev technology as a sustainable mobility solution, contingent upon advancements in material science and cost-effective ITS integration, and provides a framework for its deployment in next-generation transportation networks.}, number={2}, publisher={Bandırma Onyedi Eylül Üniversitesi}