<p>Vehicular Metaverse emerges as a promising solution for providing the experience sharing by amalgamating the physical and virtual worlds. Due to the persistently-growing information load, it is crucial to provide up-to-date information with low latency over dynamic network environments. Therefore, the main challenge for the vehicular Metaverse services is to ensure the timeliness of collected data while keeping information as fresh as possible. To address this issue, this paper studies the fundamental tradeoff relationship among the Age of Information (AoI), service latency (SL), and average throughput (AT), and proposes a new freshness-aware Metaverse control scheme. To balance data AoI, SL and AT, we adopt the key ideas of TOPSIS and cooperative game theory. As a multi-criteria decision making method, the TOPSIS effectively decide the content update cycle. And then, two cooperative solutions are employed to share the limited spectrum resource among vehicles. To explore the inter-relationship of AoI, SL and AT, our proposed scheme jointly combines different criteria, and attempts to find a mutually desirable solution for the vehicular Metaverse platform. Through our two-phase control paradigm, we can ensure the information timeliness and fair-efficient resource sharing. Simulation results and analysis show that our proposed scheme outperforms existing baseline protocols in terms of the average AoI, system throughput and service fairness among heterogeneous vehicles.</p>