• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
  • Scopus
  • Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
  • Chinese S&T Journal Citation Reports
  • Chinese Science Citation Database
Volume 27 Issue 2
Apr.  2014
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Article Contents
ZHU Jun, WANG Jinhong, HU Ya, PENG Zilong, ZHANG Ali. Combinational Modeling Method of Virtual High-Speed Railway Scene Based on Entity-Relationship Conceptual Model[J]. Journal of Southwest Jiaotong University, 2014, 27(2): 317-322. doi: 10.3969/j.issn.0258-2724.2014.02.020
Citation: ZHU Jun, WANG Jinhong, HU Ya, PENG Zilong, ZHANG Ali. Combinational Modeling Method of Virtual High-Speed Railway Scene Based on Entity-Relationship Conceptual Model[J]. Journal of Southwest Jiaotong University, 2014, 27(2): 317-322. doi: 10.3969/j.issn.0258-2724.2014.02.020

Combinational Modeling Method of Virtual High-Speed Railway Scene Based on Entity-Relationship Conceptual Model

doi: 10.3969/j.issn.0258-2724.2014.02.020
  • Received Date: 10 Jan 2013
  • Publish Date: 25 Mar 2014
  • By analyzing the object entity and the three dimensional relations of virtual high-speed railway scene, a combinational modeling method based on entity-relationship conceptual model was proposed. The conceptual model of virtual high-speed railway scene was designed, which includes three levels, namely entity level, relation level and scene level. Then some key technologies such as modeling flowchart, mapping and combination of primitive models were discussed in detail. Finally a prototype system was implemented for modeling experiment on a case study region. The experimental results show that 110 km line scene modeling can be finished within 2 min. The proposed method can efficiently clarify various relations between scene object entities. It supports fast organization and the modeling of virtual high-speed railway scene.

     

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