Deployment of EPIC framework for intelligence transportation system

被引:0
|
作者
Sitton, Miri [1 ]
机构
[1] Tel Aviv Univ, Fac Engn, Tel Aviv, Israel
关键词
enterprise architecture; intelligence transportation system; system engineering; system of systems; ARCHITECTURE;
D O I
10.1002/sys.21698
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Enterprise system engineering is a new practice that has emerged over the last few decades, promising to achieve better enterprises by improving cross-enterprise processes. However, enterprises have a unique property as a system of unsynchronized arrays of systems. This property can lead to severe problems and anomalies, such as cross-enterprise failures. These issues become even more drastic in supporting cross-enterprises processes like transportation. The transportation arena is a complex system in itself. It comprises a variety of enterprises and systems supported by different technologies and vendors. Moreover, it involves governmental, municipal, and private stakeholders. Therefore, planning and designing a coordinated and integrated architecture is difficult. A new enterprise system engineering framework called EPIC addresses these issues by enabling better coordination of unsynchronized arrays of systems across enterprises. This research explores the application of an architectural framework to the transportation arena, where existing methods have not adequately addressed its unique properties. Deploying it in the "real world" plants the seeds to improve the transportation processes, their performance, efficiency, and reliability.
引用
收藏
页码:830 / 846
页数:17
相关论文
共 50 条
  • [41] The Prediction Management Framework: Ethical, Governable, and Interpretable Deployment of Artificial Intelligence/Machine Learning Systems
    Grahn, Daniel
    Richey, Melonie
    ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING FOR MULTI-DOMAIN OPERATIONS APPLICATIONS IV, 2022, 12113
  • [42] Clinical trials informed framework for real world clinical implementation and deployment of artificial intelligence applications
    You, Jacqueline G.
    Hernandez-Boussard, Tina
    Pfeffer, Michael A.
    Landman, Adam
    Mishuris, Rebecca G.
    NPJ DIGITAL MEDICINE, 2025, 8 (01):
  • [43] Fog robotics-based intelligence transportation system using line-of-sight intelligent transportation
    Poornima, E.
    Muthu, BalaAnand
    Agrawal, Ruchi
    Kumar, S. Pradeep
    Dhingra, Mallika
    Asaad, Renas Rajab
    Jumani, Awais Khan
    MULTIMEDIA TOOLS AND APPLICATIONS, 2023,
  • [44] From Artificial Intelligence to Human Transportation Intelligence
    Vlacic, Ljubo
    IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE, 2021, 13 (04) : 3 - 4
  • [45] Design of signal fuzzy controller of single intersection in intelligence transportation system
    Ma, Wen-Ge
    INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 2007, 3 (04): : 1023 - 1029
  • [46] A Goal-Prioritized Algorithm for Additional Route Deployment on Existing Mass Transportation System
    Lin, Fandel
    Hsieh, Hsun-Ping
    20TH IEEE INTERNATIONAL CONFERENCE ON DATA MINING (ICDM 2020), 2020, : 1130 - 1135
  • [47] Edge intelligence-driven digital twin of CNC system: Architecture and deployment
    Yu, Haoyu
    Yu, Dong
    Wang, Chuting
    Hu, Yi
    Li, Yue
    ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2023, 79
  • [48] Automatic Deployment of a Network Overlay in an Intelligent Transportation System: Docker and Open Baton Approach
    Onet, Razvan
    Burian, Robert
    Campeanu, Cristina-Maria
    Ivanciu, Iustin-Alexandru
    Zinca, Daniel
    Dobrota, Virgil
    2019 18TH ROEDUNET CONFERENCE - NETWORKING IN EDUCATION AND RESEARCH (ROEDUNET), 2019,
  • [49] Control Framework for a UAV Slung-Payload Transportation System
    Kang, Junjie
    Shan, Jinjun
    Alkomy, Hassan
    IEEE CONTROL SYSTEMS LETTERS, 2023, 7 : 2473 - 2478
  • [50] A Unified Framework of Data Exchange Mechanism in an Intelligent Transportation System
    Wang, S. C.
    Pan, S. H.
    Lo, Y. L.
    Yan, K. Q.
    IMECS 2009: INTERNATIONAL MULTI-CONFERENCE OF ENGINEERS AND COMPUTER SCIENTISTS, VOLS I AND II, 2009, : 280 - 285