›› 2020, Vol. 26 ›› Issue (第1): 28-39.DOI: 10.13196/j.cims.2020.01.003

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Digital twin system for highway traffic based on 3D GIS technology

  

  • Online:2020-01-31 Published:2020-01-31

基于三维GIS技术的公路交通数字孪生系统

郑伟皓1,2,周星宇1,2,吴虹坪1,2,李红梅1,2,朱新童1,2,文林江1,2   

  1. 1.西南交通大学交通运输与物流学院
    2.西南交通大学综合交通大数据应用技术国家工程实验室

Abstract: Digital twin is the science that integrates multidisciplinary attributes and achieves the interaction and integration of virtual and reality through the fusion of physical world and information world.Digital twin has been applied in the transportation industry through BIM+GIS technology.The interaction of various transportation infrastructure model elements and the rational construction of twin data have become the bottleneck restricting its development.In the 3D GIS environment,with the guidance of digitally-generated five-dimensional structural model,a specific implementation technique for geometric,physical,and regular models that the virtual model should contain was proposed.The classification of transportation infrastructure and the characteristics of twin data were analyzed.Then,the layer relationship of its components was refined and the scheme of identification coding and storage of models was implemented.Furthermore,the system software was classified according to CAMP5,and the verification method was explained according to each layer to complete the system verification.Based on the virtual model and data fusion,the ideas of application development of pixel layer,representation layer and decision layer were combed,which could provide technical references for achieving digital twin in the traffic field.

Key words: transportation, digital twin, geographic information system, building information modeling, identification analytic system, data fusion

摘要: 数字孪生是一种集成多学科属性,通过物理世界与信息世界连接融合达到虚拟现实交互与融合的科学,其在交通业的落地途径为建筑信息模型(BIM)+地理信息系统(GIS)技术。各类交通基础设施模型要素的交互关联及孪生数据合理建设方案成为制约其发展的瓶颈。立足交通,以数字孪生的五维结构模型为指导,在三维GIS环境下,针对其虚拟模型应包含的几何、物理、规则模型提出了具体的实现技术。分析了交通基础设施分类及孪生数据特点,细化其构件层次关系,实现模型的标识编码与存储方案。依据CAMP5对系统软件进行分类,并依各层次阐述了验证方法,完成系统验证。最后,基于虚拟模型与数据融合,梳理了像素层、表征层和决策层的应用开发思路,以期为交通运输领域践行数字孪生提供技术参考。

关键词: 交通运输, 数字孪生, 地理信息系统, 建筑信息模型, 标识解析体系, 数据融合

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