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Metaverse seamlessly blends the physical world and virtual space viaubiquitous communication and computing infrastructure. In transportationsystems, the vehicular Metaverse can provide a fully-immersive and hyperrealtraveling experience (e.g., via augmented reality head-up displays, AR-HUDs) todrivers and users in autonomous vehicles (AVs) via roadside units (RSUs).However, provisioning real-time and immersive services necessitates effectivephysical-virtual synchronization between physical and virtual entities, i.e.,AVs and Metaverse AR recommenders (MARs). In this paper, we propose agenerative AI-empowered physical-virtual synchronization framework for thevehicular Metaverse. In physical-to-virtual synchronization, digital twin (DT)tasks generated by AVs are offloaded for execution in RSU with future routegeneration. In virtual-to-physical synchronization, MARs customize diverse andpersonal AR recommendations via generative AI models based on user preferences.Furthermore, we propose a multi-task enhanced auction-based mechanism to matchand price AVs and MARs for RSUs to provision real-time and effective services.Finally, property analysis and experimental results demonstrate that theproposed mechanism is strategy-proof and adverse-selection free whileincreasing social surplus by 50%.

Generative AI-empowered Effective Physical-Virtual Synchronization in the Vehicular Metaverse