长沙理工大学学报(自然科学版)
道路交叉口拓扑不一致性的描述、表达、探测及处理
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P208

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国家自然科学基金资助项目(41301404);湖南省自然科学基金资助项目(14JJ3083);长沙理工大学研究生创新项目(CX2017SS05);长沙理工大学公路地质灾变预警空间信息技术湖南省工程实验室开放基金(kfj160603)


Inconsistency detecting and handling for road intersectionsbased on topological relation analysis
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    摘要:

    为了消除道路交叉口的拓扑不一致性,首先基于拓扑关系模型对道路交叉口不一致性进行了分类、描述和表达,然后顾及道路交叉口的结构特征,通过分析交叉口处道路结点及其他结构之间的拓扑关系,提出了一种基于结构化拓扑关系描述的道路交叉口不一致性探测处理方法,最后采用VS 2008与ArcEngine组件进行编程实现了本研究方法。研究结果表明,该方法可准确探测处理交叉口处临近道路结点不重合、交点过头或不及等拓扑不一致性问题。

    Abstract:

    Due to road intersections’ complex structure, road data are prone to problems and defects of inconsistencies. In order to solve the topological inconsistency problems of intersections in road network, the detailed investigation of the categories, description and expression of inconsistency of road intersections based on topological relation models are performed. The topological relations between vertices and segments’ buffers of road intersections are analyzed closely with respect to the structural characteristics of intersections of road network, then a method of detecting inconsistency for road intersections based on structural topological relations is proposed. The method is implemented with Visual Studio 2008 and ArcEngine components. The experimental results show that this method detects inconsistencies accurately and efficiently, including conflicting vertices adjacent to other close roads at intersections, overshoots or undershoots of intersections vertex, etc.

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周凯,赵彬彬,刘泉菲,等.道路交叉口拓扑不一致性的描述、表达、探测及处理[J].长沙理工大学学报(自然科学版),2018,(1):49-56.
ZHOU Kai, ZHAO Bin-bin, LIU Quan-fei, et al. Inconsistency detecting and handling for road intersectionsbased on topological relation analysis[J]. Journal of Changsha University of Science & Technology (Natural Science),2018,(1):49-56.

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  • 在线发布日期: 2022-04-28
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