March 25, 2024, 4:42 a.m. | Jiawen Kang, Xiaofeng Luo, Jiangtian Nie, Tianhao Wu, Haibo Zhou, Yonghua Wang, Dusit Niyato, Shiwen Mao, Shengli Xie

cs.LG updates on arXiv.org arxiv.org

arXiv:2403.15285v1 Announce Type: cross
Abstract: Driven by the great advances in metaverse and edge computing technologies, vehicular edge metaverses are expected to disrupt the current paradigm of intelligent transportation systems. As highly computerized avatars of Vehicular Metaverse Users (VMUs), the Vehicle Twins (VTs) deployed in edge servers can provide valuable metaverse services to improve driving safety and on-board satisfaction for their VMUs throughout journeys. To maintain uninterrupted metaverse experiences, VTs must be migrated among edge servers following the movements of …

abstract advances arxiv avatars blockchain computing cs.cr cs.hc cs.lg cs.ni current disrupt edge edge computing edge servers intelligent intelligent transportation management metaverse migrations paradigm servers systems technologies transportation twin twins type

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