Paper Info
Title
A rule-based parametric modeling method of generating virtual environments for coupled systems in high-speed trains
Abstract
A rule-based parametric modeling (RPM) method is proposed to dynamically generate virtual environments for simulation and analysis of the dynamics of coupled systems in high-speed trains. First, a precise and complete basic-element model base is built according to the modeling requirements of virtual simulation environments. Meanwhile, the classes of and relationships between the basic-element models are defined with respect to the geometrical, topological, semantical and appearance properties of these models. Then, multi-level semantic constraint rules and a parametric modeling method are designed to accurately analyze the simulation parameters and to rapidly integrate various basic-element models for automatic generation of virtual high-speed railway environments. Finally, after a prototype system is developed, various experiments are carried out for analysis of the advantages of the RPM method. The experimental results show that the RPM method can be used to normalize the error-prone modeling procedure and rapidly generate precise and realistic virtual environments.
Year
DOI
Venue
2016
10.1016/j.compenvurbsys.2015.11.003
Computers, Environment and Urban Systems
Keywords
Field
DocType
High-speed railway,Dynamics of coupled systems in high-speed trains,Virtual environments,Multi-level semantic constraint rules,Parametric modeling
Rule-based system,Normalization (statistics),Parametric model,Simulation,Computer science,Train
Journal
Volume
ISSN
Citations 
56
0198-9715
3
PageRank 
References 
Authors
0.44
7
8
Name
Order
Citations
PageRank
heng zhang1132.07
Jun Zhu29212.39
Zhu Xu330.44
Ya Hu4427.86
Jinhong Wang530.44
Yin Lingzhi6193.89
Liu Mingwei740.81
Jing Gong830.44