Investigating the integration of Autonomous Vehicles (AVs) in intelligent mobile service systems, emphasizing the role of Artificial Intelligence-Generated Content (AIGC) and Mobility as a Service (MaaS) in creating personalized, on-demand services. It examines how AVs, equipped with perception, communication, planning, and control modules, collect user activity data to generate innovative, user-centered service ecosystems. By leveraging knowledge graphs—spatiotemporal, perceptual-cognitive, cross-scenario, and social-cultural—AVs enable real-time, context-aware services that enhance user engagement and satisfaction. The research highlights the design goals of intelligent mobile services, focusing on three key layers: function, context, and meaning. These layers aim to improve accessibility through functional interactions, guide contextual information to align with user cognitive models, and foster a meaningful, intelligent mobile service experience. The paper further explores a multi-phase design process that converts human mobility data into actionable knowledge through advanced technologies, driving innovation and social transformation in AV-driven service delivery.