2024 is the year when the digital transformation of transportation infrastructure is scaling up, while 2025, as the concluding year of the '14th Five-Year Plan' and the planning year of the '15th Five-Year Plan,' is also a critical year for entering substantive construction in digital transformation.
During the '13th Five-Year Plan' period, the daily maintenance investment for national highways was 2587 billion yuan investment in maintenance projects 7898 billion yuan. The '14th Five-Year Plan' Highway Maintenance Management Development Outline clearly defines the development goals and main tasks for highway maintenance management during the '14th Five-Year Plan' period. It proposes to enhance the integration of new-generation information technology with highway infrastructure, to develop and promote intelligent maintenance applications such as AI-based automated inspections and IoT-based maintenance project quality management. With the advancement of artificial intelligence, intelligent inspection products are gradually transitioning from pilot projects to small-scale applications. It is expected that by 2025, the market scale for intelligent inspection hardware terminals and digital upgrades of infrastructure will reach tens of billions.
Currently, AI is at the epicenter of a technological revolution, with all industries actively embracing the wave of intelligent upgrades brought by artificial intelligence. The 'AI +' concept is further integrating deeply with the transportation sector, bolstered by favorable policies and digital intelligence technologies. Yungongchang Technology has officially launched the Edge Computing + AI Road Inspection Channel Partner Recruitment Program—inviting channel partners nationwide to jointly promote the large-scale application of AI smart roads, build an AI smart transportation digital ecosystem, and open a wealth creation chapter in the AI track.
This solution is aimed at government transportation management departments, road maintenance units, and smart city operators, supporting various scenarios including smart urban management, smart municipal services (smart management of municipal roads), and smart highways (digital transformation and upgrade of infrastructure such as expressways, national and provincial trunk roads, and rural roads).





























