TY - GEN
T1 - Global Wagon Web
T2 - 6th International Conference on Big Data and Artificial Intelligence, BDAI 2023
AU - Liu, Chang
AU - Huang, Kaisheng
AU - Zhou, Mengchu
AU - Liu, Weikai
AU - He, Minhua
AU - Xue, Liyi
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - The core technology of Vehicle Infrastructure Cooperative System (VICS) has progressed to a 'cooperative perception' phase, which necessitates an efficient, reliable and cost-effective information sharing mechanism. However, existing approaches are insufficient to meet the requirements due to a number of critical issues. Firstly, data structures specified according to applications are unable to accommodate system dynamics. Secondly, the lack of open and common protocols and interfaces across heterogenous and distributed systems may lead to severe problems related to data integrity and redundancy. Thirdly, centralized data aggregation not only confronts with limited storage and network congestion, but is also a single point of failure. To address these issues, we propose a novel semantically enhanced architectural layer, Global Wagon Web (GWW), which is a service-oriented and fully decentralized infrastructure to enable live data integration, service reuse and composition, and semantic interoperation within the context of VICS. To illustrate its natures, relevant concepts and forms of structural and behavioral algebraic descriptions are presented with the help of Petri net. Additionally, its key supporting technologies and potential applications are outlined.
AB - The core technology of Vehicle Infrastructure Cooperative System (VICS) has progressed to a 'cooperative perception' phase, which necessitates an efficient, reliable and cost-effective information sharing mechanism. However, existing approaches are insufficient to meet the requirements due to a number of critical issues. Firstly, data structures specified according to applications are unable to accommodate system dynamics. Secondly, the lack of open and common protocols and interfaces across heterogenous and distributed systems may lead to severe problems related to data integrity and redundancy. Thirdly, centralized data aggregation not only confronts with limited storage and network congestion, but is also a single point of failure. To address these issues, we propose a novel semantically enhanced architectural layer, Global Wagon Web (GWW), which is a service-oriented and fully decentralized infrastructure to enable live data integration, service reuse and composition, and semantic interoperation within the context of VICS. To illustrate its natures, relevant concepts and forms of structural and behavioral algebraic descriptions are presented with the help of Petri net. Additionally, its key supporting technologies and potential applications are outlined.
KW - Conceptual Modelling
KW - Petri Net
KW - Semantic Web
KW - Vehicle Infrastructure Cooperative System
UR - http://www.scopus.com/inward/record.url?scp=85175638751&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85175638751&partnerID=8YFLogxK
U2 - 10.1109/BDAI59165.2023.10256770
DO - 10.1109/BDAI59165.2023.10256770
M3 - Conference contribution
AN - SCOPUS:85175638751
T3 - 2023 6th International Conference on Big Data and Artificial Intelligence, BDAI 2023
SP - 237
EP - 243
BT - 2023 6th International Conference on Big Data and Artificial Intelligence, BDAI 2023
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 7 July 2023 through 9 July 2023
ER -