Analysis of the Research Status and Development Trend of Urban Transportation System in the Era of Artificial Intelligence

The swift growth of industrial urban areas urgently calls for a shift from conventional to intelligent urban centers. In this context, transportation emerges as a primary entry point and fundamental pillar for this transformation, poised to revolutionize urban management and service models. To uncover the evolutionary trends of urban transportation systems in the age of artificial intelligence, this paper utilizes the Web of Science core database as its retrieval source, employing tools such as Citespace 6.2R6 and Vosviewer for visual analysis of the retrieved literature. The research findings indicate that the overall number of publications in this field has shown an upward trend from 2005 to 2024, passing through three stages: emergence, exploration, and stabilization. China stands out as the leading force in this research domain, with ZHANG J identified as a key author exerting significant influence. The research hotspots converge around four themes: intelligent transportation management, deep intelligent models, intelligent transportation systems(ITS) and smart transportation frameworks. In summary, ITS have witnessed substantial development, and their role in future urban transportation management is set to become increasingly important. With continuous technological advancements and sustained policy support, it is anticipated that ITS will achieve broader applications and deeper research in the coming years.