Intelligent transportation comprehensively applies theories and tools such as traffic science, system method, artificial intelligence and knowledge mining. It aims at comprehensive perception, deep integration, active service and scientific decision-making. By constructing a real-time dynamic information service system, digging deeply into transportation-related data and forming a problem analysis model, we can improve the ability of industry resource allocation optimization, public decision-making, industry management and public service, and promote transportation to be safer, more efficient and more efficient.