The Electromagnetic Suspension (EMS) high-speed maglev system, as a representative intelligent transportation system, employs intelligent electromagnetic attraction control to achieve stable levitation above the track, enabling contactless operation and establishing itself as a next-generation sustainable transport solution. Unlike conventional wheel-rail systems, this intelligent transportation innovation addresses critical challenges including real-time system integration, automated control coordination, and multi-sensor data fusion. The development faces significant technical barriers such as extended test cycle durations, substantial infrastructure investments, and limitations in physical prototype verification for vehicular components. To overcome these constraints in controller validation and load testing for levitation stabilization, lateral guidance, and eddy-current braking systems, we developed an integrated Hardware-in-the-Loop (HIL) simulation platform aligned with Intelligent Transportation requirements. This advanced testing architecture enables comprehensive performance evaluation of coupled electromagnetic control systems across multiple operational scenarios: static levitation maintenance, dynamic trajectory tracking, emergency braking sequences, and controlled suspension release. Featuring a highly integrated architecture with modular scalability, the platform demonstrates three distinctive advantages for intelligent transportation applications: (1) Cost-effectiveness through virtual-physical system co-simulation enabling large-scale network deployment, (2) Configurable test scenario generation for multi-domain controller verification across transportation ecosystems, and (3) Accelerated test iteration cycles via real-time digital twin implementation supporting smart infrastructure evolution. Experimental validation confirms the platform’s capability to reduce development costs by 43% while improving test efficiency by 68% compared to conventional field-testing approaches. This platform provides an essential research tool for the engineering development, operational safety assurance, and ultra-high-speed verification of EMS maglev systems within modern intelligent transportation frameworks.