Foundation Models for Transportation Intelligence: ITS Convergence in TransVerse
Zhao, Chen1; Dai, Xingyuan2; Yisheng Lv2; Tian, Yonglin3; Ren, Yuhai4; Wang, Fei-Yue5
发表期刊IEEE Intelligent Systems
2022-11
卷号37期号:6页码:77-82
摘要

Smart cities are our aspiration for a better life where transportation intelligence is indispensable. Recent technological advances in intelligent transportation systems have opened up new possibilities for smart mobility in smart cities. Here we present TengYun, a transportation foundation model designed and developed with parallel learning and federated intelligence for our transportation metaverse called TransVerse. TengYun enables decentralized/distributed autonomous organizations with decentralized/ distributed operations, as well as various federated technologies, from federated security, federated control, federated management, federated services, to federated ecology for transportation intelligence in smart cities. An example for a federation of transportation transformers is discussed for illustrating the operating procedure of TengYun.

收录类别SCI
七大方向——子方向分类平行管理与控制
国重实验室规划方向分类多智能体决策
是否有论文关联数据集需要存交
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/56520
专题多模态人工智能系统全国重点实验室
通讯作者Dai, Xingyuan
作者单位1.University of Chinese Academy of Sciences, Beijing, 100049, China
2.CASIA, Beijing, 100190, China
3.Waytous Incorporation, Beijing, 100083, China
4.North Automatic Control Technology Institute, Taiyuan, 030006, China
5.Macau University of Science and Technology, Macao, 999078, China
通讯作者单位中国科学院自动化研究所
推荐引用方式
GB/T 7714
Zhao, Chen,Dai, Xingyuan,Yisheng Lv,et al. Foundation Models for Transportation Intelligence: ITS Convergence in TransVerse[J]. IEEE Intelligent Systems,2022,37(6):77-82.
APA Zhao, Chen,Dai, Xingyuan,Yisheng Lv,Tian, Yonglin,Ren, Yuhai,&Wang, Fei-Yue.(2022).Foundation Models for Transportation Intelligence: ITS Convergence in TransVerse.IEEE Intelligent Systems,37(6),77-82.
MLA Zhao, Chen,et al."Foundation Models for Transportation Intelligence: ITS Convergence in TransVerse".IEEE Intelligent Systems 37.6(2022):77-82.
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