摘要
由机器人与机器学习每日新闻的新闻记者兼工作人员新闻编辑-调查人员讨论人工智能的新发现。根据NewsRx记者来自中华人民共和国合肥的新闻报道，研究表明，"最近几年，互联自主车辆(CAVs)取得了许多技术突破"。我们的新闻记者引用了安徽大学的研究成果：“一方面，这些突破大大推动了智能交通系统(ITSs)的发展；另一方面，这些新的交通参与者从社会空间向智能交通系统引入了更复杂和不确定的因素，数字双胞胎(DTs)为构建物理世界智能交通系统的数字地图提供了实时、数据驱动、精确的建模。”MET厌恶集成了虚拟现实/混合现实、人工智能和DTs等新兴技术来建模和探索如何提高系统可达性、提高效率和增强安全性。本文探讨了网络-物理-社会空间中体现并行驾驶基础智能的大模型，它将元宇宙和DTs相结合，构建了一个CAV并行训练空间，并对其关键特征和操作机制进行了全面阐述。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in artificial intelligence. According to news reporting originating from Hefei, Peo ple’s Republic of China, by NewsRx correspondents, research stated, “Recent year s have witnessed numerous technical breakthroughs in connected and autonomous ve hicles (CAVs).” Our news reporters obtained a quote from the research from Anhui University: “On the one hand, these breakthroughs have significantly advanced the development o f intelligent transportation systems (ITSs); on the other hand, these new traffi c participants introduce more complex and uncertain elements to ITSs from the so cial space. Digital twins (DTs) provide real-time, data-driven, precise modeling for constructing the digital mapping of physical-world ITSs. Meanwhile, the met averse integrates emerging technologies such as virtual reality/mixed reality, a rtificial intelligence, and DTs to model and explore how to realize improved sus tainability, increased efficiency, and enhanced safety. More recently, as a lead ing effort toward general artificial intelligence, the concept of foundation mod el was proposed and has achieved significant success, showing great potential to lay the cornerstone for diverse artificial intelligence applications across dif ferent domains. In this article, we explore the big models embodied foundation i ntelligence for parallel driving in cyber-physical-social spaces, which integrat e metaverse and DTs to construct a parallel training space for CAVs, and present a comprehensive elucidation of the crucial characteristics and operational mech anisms.”
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