  Generative AI (GAI) can enhance the cognitive, reasoning, and planning
capabilities of intelligent modules in the Internet of Vehicles (IoV) by
synthesizing augmented datasets, completing sensor data, and making sequential
decisions. In addition, the mixture of experts (MoE) can enable the distributed
and collaborative execution of AI models without performance degradation
between connected vehicles. In this survey, we explore the integration of MoE
and GAI to enable Artificial General Intelligence in IoV, which can enable the
realization of full autonomy for IoV with minimal human supervision and
applicability in a wide range of mobility scenarios, including environment
monitoring, traffic management, and autonomous driving. In particular, we
present the fundamentals of GAI, MoE, and their interplay applications in IoV.
Furthermore, we discuss the potential integration of MoE and GAI in IoV,
including distributed perception and monitoring, collaborative decision-making
and planning, and generative modeling and simulation. Finally, we present
several potential research directions for facilitating the integration.
