Foundation Intelligence for Smart Infrastructure Services in Transportation 5.0
文献类型:期刊论文
作者 | Han, Xu1,2; Meng, Zonglin1,2; Xia, Xin1,2; Liao, Xishun1,2; He, Brian Yueshuai1,2; Zheng, Zhaoliang1,2; Wang, Yutong3![]() |
刊名 | IEEE TRANSACTIONS ON INTELLIGENT VEHICLES
![]() |
出版日期 | 2024 |
卷号 | 9期号:1页码:39-47 |
关键词 | Foundation intelligence foundation models smart infrastructure transportation 5.0 |
ISSN号 | 2379-8858 |
DOI | 10.1109/TIV.2023.3349324 |
通讯作者 | Ma, Jiaqi(jiaqima@ucla.edu) |
英文摘要 | This perspective paper delves into the concept of foundation intelligence that shapes the future of smart infrastructure services as the transportation sector transitions into the era of Transportation 5.0. First, the discussion focuses on a suite of emerging technologies essential for foundation intelligence. These technologies encompass digital twinning, parallel intelligence, large vision-language models, traffic simulation and transportation systems modeling, vehicle-to-everything (V2X) connectivity, and decentralized/distributed systems. Next, the paper introduces the present landscape of Transportation 5.0 applications as illuminated by the foundational intelligence, and casts a vision towards the future including cooperative driving automation, smart intersection/infrastructure, parallel traffic management, virtual drivers, and mobility systems planning and operations, laying out prospects that are poised to redefine the mobility ecosystem. Last, through a comprehensive outlook, this paper aspires to offer a guiding framework for the intelligent evolution in data generation and model calibration, digital twinning and simulation, scenario development and experimentation, feedback loop for management and control, and continuous learning and adaptation, fostering safety, efficiency, reliability, and sustainability in the future smart transportation infrastructure. |
WOS关键词 | MODEL |
资助项目 | FHWA Center for Excellence on New Mobility and Automated Vehicles Program ; Cooperative Perception and Control for Freeway Traffic System by the Federal Highway Administration Exploratory Advanced Research Program ; California RIMI Program |
WOS研究方向 | Computer Science ; Engineering ; Transportation |
语种 | 英语 |
WOS记录号 | WOS:001173317800010 |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
资助机构 | FHWA Center for Excellence on New Mobility and Automated Vehicles Program ; Cooperative Perception and Control for Freeway Traffic System by the Federal Highway Administration Exploratory Advanced Research Program ; California RIMI Program |
源URL | [http://ir.ia.ac.cn/handle/173211/58707] ![]() |
专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队 |
通讯作者 | Ma, Jiaqi |
作者单位 | 1.Univ Calif Los Angeles, UCLA Mobil Lab, Los Angeles, CA 90095 USA 2.Univ Calif Los Angeles, FHWA Ctr Excellence New Mobil & Automated Vehicle, Los Angeles, CA 90095 USA 3.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100045, Peoples R China 4.Waytous Co Ltd, Beijing 100083, Peoples R China 5.Beijing Inst Technol, Sch Informat & Elect, Beijing 100081, Peoples R China |
推荐引用方式 GB/T 7714 | Han, Xu,Meng, Zonglin,Xia, Xin,et al. Foundation Intelligence for Smart Infrastructure Services in Transportation 5.0[J]. IEEE TRANSACTIONS ON INTELLIGENT VEHICLES,2024,9(1):39-47. |
APA | Han, Xu.,Meng, Zonglin.,Xia, Xin.,Liao, Xishun.,He, Brian Yueshuai.,...&Ma, Jiaqi.(2024).Foundation Intelligence for Smart Infrastructure Services in Transportation 5.0.IEEE TRANSACTIONS ON INTELLIGENT VEHICLES,9(1),39-47. |
MLA | Han, Xu,et al."Foundation Intelligence for Smart Infrastructure Services in Transportation 5.0".IEEE TRANSACTIONS ON INTELLIGENT VEHICLES 9.1(2024):39-47. |
入库方式: OAI收割
来源:自动化研究所
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。