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.

翻译：生成式人工智能（GAI）可通过合成增强数据集、完成传感器数据补全及序列决策，增强车联网（IoV）中智能模块的认知、推理与规划能力。此外，混合专家模型（MoE）能够实现AI模型在联网车辆间的分布式协同执行，且不降低性能表现。本综述探索了MoE与GAI的融合机制，旨在推动车联网通用人工智能的实现——使IoV在最小化人工监管下达成全自动驾驶能力，并适用于环境监测、交通管理及自动驾驶等多种移动场景。我们首先阐述了GAI与MoE的基础原理及其在IoV中的交互应用，进而讨论了二者的潜在融合方向，包括分布式感知与监控、协同决策与规划、生成式建模与仿真。最后，提出了促进该融合研究的若干潜在研究方向。