Journal of Geo-information Science >
Virtual High-speed Railway Scene Modeling Method Based on the Linear Referencing System
Received date: 2013-04-19
Revised date: 2013-07-06
Online published: 2014-01-05
The high-speed railway and its surroundings is a complex system of "people, machine and environment". Building the virtual high-speed railway scene can present the railway lines and the terrains around them intuitively, which makes the technicians feel on the spot and allows them to acquire railway attributes and geographic information in a more efficient way so as to support the management decisions and scientific experiments. Linear referencing system is a one-dimensional system. It consists of a set of line features, on which events can be quickly located based on a reference to the line itself rather than through absolute x, y coordinates. So, according to the linear distribution characteristic of the high-speed railway spatial data and the fixed structure properties of feature object, this paper proposes a virtual scene modeling method for high-speed railway based on the linear referencing system. This modeling method abstracts and simplifies the complicated high-speed railway models and transforms them into reusable basic-element models. At the meantime, the corresponding attribute tables are also created. While doing the modeling work, the modeling objects are stored as the event tables in the database and then using linear referencing tools to do spatial locating. Eventually, the virtual high-speed railway scene can be constructed according to the located spatial positions and attitudes. In this paper, we firstly explored the characteristics of high-speed rail line and linear referencing system. Then we discussed some key technologies such as modeling flowchart, model attribute and event table design method, and geometric constraint in detail. Finally, we selected a case study region for carrying out a test. The results show that, this modeling method transforms the objects into event tables to do spatial locating, which reduces the complexity of calculations, and associates the attribute data with certain scene objects. Thus, this modeling method can surely be used in the management decisions as well as scientific experiments.
WANG Jinhong, ZHU Jun, YIN Lingzhi, PENG Zilong, ZHANG Ali . Virtual High-speed Railway Scene Modeling Method Based on the Linear Referencing System[J]. Journal of Geo-information Science, 2014 , 16(1) : 23 -30 . DOI: 10.3724/SP.J.1047.2014.00023
[1] 朱庆.数码城市地理信息系统:虚拟城市环境中的三维城市模型[M].武汉:武汉大学出版社, 2004.
[2] 林珲, 朱庆.虚拟地理环境的地理学语言特征[J].遥感学报, 2005, 9(2):158-165.
[3] 林珲, 龚建华.论虚拟地理环境[J].测绘学报, 2002, 31(1):1-6.
[4] 林珲, 龚建华, 施晶晶.从地图到地理信息系统与虚拟地理环境——试论地理学语言的演变[J].地理与地理信息科学, 2003, 19(4):18-23.
[5] 林珲, 黄凤茹, 闾国年.虚拟地理环境研究的兴起与实验地理学新方向[J].地理学报, 2009, 64(1):7-20.
[6] 金学松, 凌亮, 肖新标, 等.复杂环境下高速列车动态行为数值仿真和运行安全域分析[J].计算机辅助工程. 2011, 20(3):29-41, 59.
[7] 罗斌.铁路线路三维选线设计中景观建模方法的研究[D].成都:西南交通大学, 2002.
[8] Bruner M, Rizzetto L. Dynamic simulation of tram-train vehicles on railway track[J]. WIT Transactions on the Built Environment, 2008(101):491-501.
[9] 张昊, 蒲浩, 胡光常, 等.基于OSG的铁路三维实时交互式可视化技术研究[J]. 铁道勘察, 2010, (1):3-6.
[10] 吕希奎.基于遥感信息的选线系统地理环境建模方法及应用研究[D].成都:西南交通大学, 2008.
[11] 何莉.铁路线路视景仿真中构造物三维模型库的研究[D].成都:西南交通大学, 2007.
[12] 王雪霏.基于空间数据的高速铁路三维建模方法[D].北京:北京交通大学, 2011.
[13] 朱颖, 闵世平, 代强玲.面向铁路行业三维场景快速构建一体化技术研究[J].铁道工程学报, 2011(12):5-10.
[14] ArcGIS中的线性参考[Z].ESRI环境系统研究所公司(美国), 2004.
[15] 童小华, 杨东援, 刘大杰.一种新的线性参照系统数据模型[J].同济大学学报, 2001, 29(4):410-415.
[16] 易思蓉.铁路选线设计第三版[M].成都:西南交通大学出版社, 2009.
[17] Zhu Q, Zhao J Q, Du Z Q. Towards semantic 3D city modeling and visual explorations[J]. Advances in 3D Geo-Information Sciences, 2010, 275-294.
[18] Zhu Q, Hu M. Semantics-based 3D dynamic hierarchical house property model[J]. International Journal of Geographical Information Science, 2010, 24(2):165-188.
[19] Vanacken L, Raymaekers C, Coninx K. Introducing semantic information during conceptual modeling of interaction for virtual environments[C]. Proceedings of the 2007 Workshop on Multimodal Interfaces in Semantic Interaction, 2007, 17-24.
[20] Jiang H, Xu W, Mao T, et al. A semantic environment model for crowd simulation in multilayered complex environment[C]. Proceedings of the 16th ACM Symposium on Virtual Reality Software and Technology, 2009, 191-198.
/
| 〈 |
|
〉 |