The widespread adoption of autonomous driving technology poses new challenges to traditional urban transportation modes and spatial structures, necessitating a paradigm shift in urban planning methodologies to align with emerging technological realities. This study addresses the critical need to reimagine urban spaces through adaptive design strategies that harmonize mobility innovations with human-centric urbanism, ecological sustainability, and functional efficiency. Focusing on urban spatial changes driven by autonomous driving, this study first identifies key trends such as enhanced transportation efficiency, the popularization of shared mobility, and modularization of urban spaces. Subsequently, it proposes urban design strategies including the construction of a flattened road network system to reduce hierarchical road distinctions, establishment of multi-modal transportation hubs, conversion of redundant road spaces into public areas, and promotion of mixeduse land layouts to enhance functional integration. Taking the Fuzhou University Town Innovation Hub as a case study, these strategies are applied to provide actionable references for future urban spatial evolution and design under autonomous driving scenarios. Specifically, the study delves into the profound impact of autonomous driving technology on urban transportation and spatial organization. It highlights how the technology will revolutionize transportation infrastructure and urban planning, thereby influencing land use and the overall urban design paradigm. The research also explores the potential of autonomous vehicles to enhance traffic flow, reduce congestion, and improve the overall efficiency of urban transportation systems. It discusses the possibility of repurposing road spaces that are no longer needed for parking or traditional traffic purposes into vibrant public spaces, such as parks, plazas, and community areas. Additionally, the study emphasizes the importance of mixed-use developments in creating more walkable, sustainable, and livable urban environments. By integrating residential, commercial, and recreational functions within close proximity, cities can reduce the need for long commutes and minimize the reliance on private vehicles. The study also contemplates the broader implications of autonomous driving technology for urban planning and design. It suggests that the technology could facilitate the creation of more flexible and adaptable urban spaces that can evolve over time to meet changing societal needs. Furthermore, the research provides a practical application of these strategies through a case study of the Fuzhou University Town area. It illustrates how the principles of flattened road networks, mixed-use layouts, and public space enhancement can be implemented in a real-world urban context. By applying these strategies to the specific conditions and requirements of the Fuzhou University Town area, the study offers valuable insights and actionable references for urban planners and designers who are grappling with the implications of autonomous driving technology for future urban development. The research acknowledges the uncertainties and challenges associated with the adoption of autonomous driving technology, such as safety concerns, public acceptance, and data privacy issues. Despite these challenges, it posits that autonomous driving technology holds significant promise for transforming urban spaces and improving the quality of urban life. In conclusion, the study underscores theimportance of proactive and innovative urban spatial design in harnessing the benefits of autonomous driving technology and shaping more efficient, sustainable, and livable cities for the future.