FANG Minghui,YOU Linlin,HAO Mai,et al.The adaptive evolution mechanism of autonomous transportation system architecture[J].Acta Scientiarum Naturalium Universitatis Sunyatseni,2024,63(04):115-123.
FANG Minghui,YOU Linlin,HAO Mai,et al.The adaptive evolution mechanism of autonomous transportation system architecture[J].Acta Scientiarum Naturalium Universitatis Sunyatseni,2024,63(04):115-123. DOI: 10.13471/j.cnki.acta.snus.ZR20240030.
The adaptive evolution mechanism of autonomous transportation system architecture
This paper proposes a novel approach that utilizes ontology technology and semantic logic representation, which can construct a standardized knowledge repository in the form of a knowledge graph (KG) for autonomous transportation system (ATS). In addition, an architecture-adaptive transformation schema, to facilitate the automatic evolution of specific architectures across generations, grounded in evolutionary analysis is designed in accordance with inferring the system's evolutionary trajectory. To validate the schema, a fair and comprehensive assessment involving rational, efficient, and effective is achieved based on an open-source KG of ATS. The summarized results can, experimentally, showcase the potential of the proposed approach to meet the evolving requirements of transportation system has got, and continuously get transformed to ATS.
关键词
自主式交通系统演进分析知识图谱本体语义网
Keywords
autonomous transportation systemevolution analysisknowledge graphontologysemantic web
BENAVIDES S D, CARDOSO S D, SILVEIRA M D A, et al,2022. Dyndiff: A tool for comparing versions of large ontologies[C]//5th Workshop on Semantic Web Solutions for Large-Scale Biomedical Data Analytics.CEUR:29-30.
BUCHGEHER G, GABAUER D, MARTINEZ-GIL J, et al, 2021. Knowledge graphs in manufacturing and production: A systematic literature review[J]. IEEE Access, 9: 55537-55554.
HARTUNG M, GROSS A, RAHM E, 2013. Conto-Diff: Generation of complex evolution mappings for life science ontologies[J]. J Biomed Inform, 46(1): 15-32.
KREMEN P, SMID M, KOUBA Z, 2011. OWLDiff: A practical tool for comparison and merge of OWL ontologies[C]//22nd International Workshop on Database and Expert Systems Applications. Toulouse, France:IEEE: 229-233.
NOY N F, MUSEN M A, 2002. Promptdiff: A fixed-point algorithm for comparing ontology versions[J]. AAAI/IAAI: 744-750.
OSBORNE F, MOTTA E, 2018. Pragmatic ontology evolution: Reconciling user requirements and application performance[C]// 17th International Semantic Web Conference. Springer: 495-512.
SANTOS J S, SILVA V T, AZEVEDO L G, et al, 2020. An experimental analysis of tools for ontology evolution management[C]// 22nd International Conference on Enterprise Information Systems. SciTePress:111-121.
WILLIAMS B,2021. Automated driving levels[EB/OL]. Automated Vehicles and MassS: Removing the Barriers.https://ieeexplore.ieee.org/abstract/document/9466297https://ieeexplore.ieee.org/abstract/document/9466297.
YOU L, HE J, ZHAO J, et al, 2022a. A federated mixed logit model for personal mobility service in autonomous transportation systems[J]. Systems, 10(4): 117.
YOU L, HE J, WANG W, et al, 2022b. Autonomous transportation systems and services enabled by the next-generation network[J]. IEEE Netw, 36(3): 66-72.
ZHOU Z S, CAI M, XIONG C, et al,2022. Construction of autonomous transportation system architecture based on system engineering methodology[C]// 25th International Conference on Intelligent Transportation Systems (ITSC).Macau,China: IEEE: 3348-3353.