Open Access
| 期号 |
Int. J. Simul. Multidisci. Des. Optim.
卷号 15, 2024
|
|
|---|---|---|
| 文献编号 | 2 | |
| 页数 | 10 | |
| DOI | https://doi.org/10.1051/smdo/2024002 | |
| 网上发表时间 | 2024年3月12日 | |
- S. Han, W. Wang, X. Liu, A new type-2 fuzzy multi-criteria hybrid method for rail transit operation safety assessment, Appl. Soft Comput. 113, 107927. 51–107927.59 (2021) [Google Scholar]
- G. Liu, Z. Hou, Adaptive iterative learning control for subway trains using multiple-point-mass dynamic model under speed constraint, IEEE Trans. Intell. Transp. Syst. 22, 1388–1400 (2021) [CrossRef] [Google Scholar]
- X.P. Cai, Q.H. Huang, P.C. Li, Theoretical study of long elastic sleeper track to reduce vibrations induced by subway trains, Proc. Inst. Mech. Eng., Part F. J. Rail Rapid Transit. 234, 538–549 (2020) [CrossRef] [Google Scholar]
- H. Yang, T. Xu, D. Chen, H. Yang, L. Pu, Direct modeling of subway ridership at the station level: a study based on mixed geographically weighted regression, Can. J. Civil Eng. 47, 534–545 (2020) [CrossRef] [MathSciNet] [Google Scholar]
- T. Dawood, E. Elwakil, T. Zayed, Z. Zhu, Data fusion of multiple machine intelligent systems for the condition assessment of subway structures, Tunn. Undergr. Space Technol. 126, 104512.23–104215.35 (2022) [CrossRef] [Google Scholar]
- H. Wang, Z. Hou, Model-free adaptive fault-tolerant control for subway trains with speed and traction/braking force constraints, IET Control Theory Appl. 14, 1557–1566 (2020) [CrossRef] [MathSciNet] [Google Scholar]
- S. Luo, Construction of situational teaching mode in ideological and political classroom based on digital twin technology, Comput. Electr. Eng. 101, 2–13 (2022) [Google Scholar]
- H. Yu, S. Han, D. Yang, Z. Wang, W. Feng, Job shop scheduling based on digital twin technology: a survey and an intelligent platform, Complexity 2, 73–82 (2021) [Google Scholar]
- K. Zhou, S. Yang, Z. Guo, X. Long, J. Hou, T. Jin, Design of automatic spray monitoring and tele-operation system based on digital twin technology, Proc. Inst. Mech. Eng., Part C. J. Mech. Eng. Sci. 235, 7709–7725 (2021) [CrossRef] [Google Scholar]
- C. Siyan, W. Tinghuai, L. Xiaomei, Z. Liu, W. Danying, Research on the improvement of teachers' teaching ability based on machine learning and digital twin technology, J. Intell. Fuzzy Syst.: Appl. Eng. Technol. 40, 7323–7334 (2021) [Google Scholar]
- L. Xu, S. Yan, Z. Chen, X. Chen, Design of the museum interactive lighting system based on the digital twin technology, Sci. Program. 21, 2–8 (2021) [Google Scholar]
- J.-C. Michelin, B. Landes, J.-P. Riant, H. Gigleux, Developments and opportunities for digital twin technology on the French railway network, Global Railway Rev. 27, 36–39 (2021) [Google Scholar]
- J. Lien, Digital twin technology offers unified vision for future of industry, World Oil 242, 36–40 (2021) [Google Scholar]
- V. Coimbatore (Ed.), Boxall, Using digital twin technology to improve inspection methods of high risk assets, Water 6, 12–26 (2021) [Google Scholar]
- H. Zheng, Research and analysis on the application of digital twin technology in urban rail transit// Asia-pacific conference on image processing, electronics and computers, IEEE 5, 77–83 (2021) [Google Scholar]
- M.G. Voskoglou, A combined use of soft sets and grey numbers in decision making, J. Comput. Cognit. Eng. 2, 1–4 (2023) [Google Scholar]
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