• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
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  • Chinese Science Citation Database
Volume 59 Issue 2
Apr.  2024
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Article Contents
ZHANG Haizhu, LI Rong, DING Guofu, MA Kai, DENG Hai. Research Status and Prospect of Decomposition of Top-Level Design Indicators for High-Speed Trains[J]. Journal of Southwest Jiaotong University, 2024, 59(2): 456-466. doi: 10.3969/j.issn.0258-2724.20220188
Citation: ZHANG Haizhu, LI Rong, DING Guofu, MA Kai, DENG Hai. Research Status and Prospect of Decomposition of Top-Level Design Indicators for High-Speed Trains[J]. Journal of Southwest Jiaotong University, 2024, 59(2): 456-466. doi: 10.3969/j.issn.0258-2724.20220188

Research Status and Prospect of Decomposition of Top-Level Design Indicators for High-Speed Trains

doi: 10.3969/j.issn.0258-2724.20220188
  • Received Date: 14 Mar 2022
  • Rev Recd Date: 26 May 2022
  • Available Online: 17 Nov 2023
  • Publish Date: 23 Jun 2022
  • The decomposition of top-level design indicators is the primary link to determine the cycle length and success of forward design for high-speed trains. First, on the basis of expounding on the top-level design indicators of high-speed trains in terms of transportation capacity, safety and comfort, environmental protection, and economy, the decomposition challenges of top-level design indicators for high-speed trains were proposed from the perspectives of system structure, operating boundary conditions, and large-scale system coupling. Then, the research status was discussed, including the decomposition method, decomposition association model, and decomposition coordination strategy of design indicators, and the deficiencies and new needs of the existing methods were analyzed. Finally, the applicability of community ecology in the decomposition of top-level design indicators for high-speed trains was prospected. In addition, the key problems that will be faced by the decomposition of top-level design indicators for high-speed trains based on community ecology were analyzed, and corresponding technical routes for solutions were given, so as to provide a reference for the in-depth research and practice of the decomposition of top-level design indicators for high-speed trains.

     

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