摘要
传统的以线、点要素为主要构成的公路交通电子地图开始无法满足更深层次的应用需求。通常的数据采集方法成本昂贵,工作周期长,效率较低,提出了一种基于Web3D与公路基础数据进行二三维一体参数化动态建模方法,采取积木式组装的方法,对路段、构筑物和沿线设施进行建模,完成公路场景模型。根据不同的公路要素特性,提出了不同的模型参数化方法,其中遥感影像AI识别的要素外轮廓起到了补充和校正的作用。以江西省部分路网为试验区域,进行了建模试验。结果表明,本方法可以方便、快速、较高精度地构造出公路场景的二三维一体的模型,具备良好的可视化效果和精细化公路业务应用的前景。
The traditional electronic highway traffic map,which is mainly composed of line and point elements,cannot meet the deeper application requirements.The usual data collection methods are costly,time-consuming,and inefficient.The 2D and 3D parameterized dynamic modeling methods were proposed based on Web3D and highway basic data.The modular assembly method was adopted to model highway sections,structures,and facilities along the road,and to complete the highway scene model.Based on the characteristics of different highway elements,the different model parameterization methods were proposed,among which the outer contour of elements identified by using remote sensing image AI played the supplementary and corrective role.The modeling experiment was conducted by using some road networks in Jiangxi province as the experimental area.The result indicates that this method can conveniently,quickly,and accurately construct the 2D and 3D integrated model of highway scenes with good visualization effects and prospects for refined highway business applications.
作者
周琦
张斌
王胜华
陈相良
ZHOU Qi;ZHANG Bin;WANG Sheng-hua;CHEN Xiang-liang(Jiangxi Provincial Intelligent Transportation Affairs Center,Nanchang,Jiangxi 330002,China)
出处
《公路交通科技》
CAS
CSCD
北大核心
2023年第S01期425-436,共12页
Journal of Highway and Transportation Research and Development
基金
江西省公路基础数据库建设标准研究项目
关键词
智能交通
遥感影像
公路
参数化
动态建模
intelligent transport
remote sensing image
highway
parameterization
dynamic modeling
