Mobility 5.0: Smart Logistics and Transportation Services in Cyber-Physical-Social Systems

被引：25
|
作者：
Lin, Yilun [1 ]
Na, Xiaoxiang [2 ]
Wang, Ding [1 ]
Dai, Xingyuan [3 ]
Wang, Fei-Yue [4 ,5 ]
机构：
[1] Shanghai Artificial Intelligence Lab, Urban Comp Lab, Shanghai 200235, Peoples R China
[2] Univ Cambridge, Dept Engn, Cambridge CB2 1PZ, England
[3] Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100090, Peoples R China
[4] Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
[5] Macau Univ Sci & Technol, Macao Inst Syst Engn, Taipa 999078, Macao, Peoples R China
来源：
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES | 2023年 / 8卷 / 06期
关键词：
Mobility; logistics; transportation; cyber-physical-social systems; CHATGPT;
D O I：
10.1109/TIV.2023.3286995
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The logistics and transportation industry has made significant progress in improving sustainability, efficiency, and accessibility, primarily due to the continuous development of technologies, including clean energy, advanced algorithms, unmanned vehicles, and privacy-enhancing techniques. Along with these advancements, the Mobility 5.0 paradigm has been proposed in the ITSS Intelligent Vehicle 5.0 project meeting. This letter discusses the changes in the supply and demand of mobility resources and looks at the basic components on which the implementation of the Mobility 5.0 relies on. By integrating emerging technologies into Cyber-Physical-Social Systems (CPSS), we believe that Mobility 5.0 has tremendous potential in shaping a new era of intelligent logistics and transportation services and will bring significant benefits to individuals, businesses, the government, and the entire society.
引用
收藏
页码：3527 / 3532
页数：6
相关论文
共 50 条
  • [41] Privacy-preserving computation in cyber-physical-social systems: A survey of the state-of-the-art and perspectives
    Feng, Jun
    Yang, Laurence T.
    Gati, Nicholaus J.
    Xie, Xia
    Gavuna, Benard S.
    INFORMATION SCIENCES, 2020, 527 : 341 - 355
  • [42] Integration of Image Feature and Word Relevance: Toward Automatic Image Annotation in Cyber-Physical-Social Systems
    Ning, Zhaolong
    Zhou, Guanghai
    Chen, Zhikui
    Li, Qiucen
    IEEE ACCESS, 2018, 6 : 44190 - 44198
  • [43] Exploring the Potentials and Challenges of Cyber-Physical-Social Infrastructure Systems for Achieving Human-Centered Objectives
    Doctorarastoo, Maral
    Flanigan, Katherine A.
    Berges, Mario
    McComb, Christopher
    PROCEEDINGS OF THE 10TH ACM INTERNATIONAL CONFERENCE ON SYSTEMS FOR ENERGY-EFFICIENT BUILDINGS, CITIES, AND TRANSPORTATION, BUILDSYS 2023, 2023, : 385 - 389
  • [44] Evaluating a Multidisciplinary Model for Managing Human Uncertainty in 5G Cyber-Physical-Social Systems
    Mejia, Nestor Alzate
    Perello, Jordi
    Santos-Boada, German
    de Almeida-Amazonas, Jose Roberto
    APPLIED SCIENCES-BASEL, 2024, 14 (19):
  • [45] Synergy of Human-Centered AI and Cyber-Physical-Social Systems for Enhanced Cognitive Situation Awareness: Applications, Challenges and Opportunities
    Alsamhi, Saeed Hamood
    Kumar, Santosh
    Hawbani, Ammar
    Shvetsov, Alexey V.
    Zhao, Liang
    Guizani, Mohsen
    COGNITIVE COMPUTATION, 2024, 16 (05) : 2735 - 2755
  • [46] Blockchain-enabled Tensor-based Conditional Deep Convolutional GAN for Cyber-physical-Social Systems
    Feng, Jun
    Yang, Laurence T.
    Zhu, Yuxiang
    Gati, Nicholaus J.
    Mo, Yijun
    ACM TRANSACTIONS ON INTERNET TECHNOLOGY, 2021, 21 (02)
  • [47] A BP Neural Network-Based Communication Blind Signal Detection Method With Cyber-Physical-Social Systems
    Liu, Xin
    Zhou, Yanju
    Wang, Zongrun
    Chen, Xiaohong
    IEEE ACCESS, 2018, 6 : 43920 - 43935
  • [48] Feature Extraction of High-dimensional Data Based on J-HOSVD for Cyber-Physical-Social Systems
    Gao, Yuan
    Yang, Laurence T.
    Zhao, Yaliang
    Yang, Jing
    ACM TRANSACTIONS ON MANAGEMENT INFORMATION SYSTEMS, 2022, 13 (03)
  • [49] Optimized and federated soft-impute for privacy-preserving tensor completion in cyber-physical-social systems
    Yang, Jia
    Fu, Cai
    Lu, Hongwei
    INFORMATION SCIENCES, 2021, 564 : 103 - 123
  • [50] Tensor-Based Multiple Clustering Approaches for Cyber-Physical-Social Applications
    Zhao, Yaliang
    Yang, Laurence T.
    Zhang, Ronghao
    IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING, 2020, 8 (01) : 69 - 81
12345