Abstract: In response to the new era of transportation big data applications and the demand for cultivating innovative talents in emerging engineering disciplines, this study, guided by the concept of “Integration of Science, Education, and Research,” introduces “Big Data + Cloud Computing + Virtualization” technology. It establishes an integrated transportation big data teaching and training platform that combines knowledge acquisition, teaching interaction, and practical application (“Know-Teach-Act”) to support comprehensive training in transportation big data. The platform features modular, scalable, and user-friendly design, which enhances the effectiveness of big data training courses in practical application. By recording student learning processes, providing dynamic evaluation, and offering real-time feedback, the platform fosters efficient interaction, sequential progression, and in-depth learning under a unified educational objective, ensuring comprehensive monitoring and improvement of teaching quality. An integrated bachelor's, master's, and doctoral approach has been adopted to develop a platform application model that simultaneously promotes, trains, develops, researches, and builds. This approach significantly contributes to the construction and sustainable development of future Virtual Teaching and Research Offices and virtual simulation laboratories.