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图学学报

• 专论:第16届媒体智能与大数据计算会议(CIDE & DEA 2019 大连) • 上一篇    下一篇

支持动态编辑的交通路网语义建模方法

  

  1. (郑州轻工业大学计算机与通信工程学院,河南 郑州 450000)
  • 出版日期:2019-10-31 发布日期:2019-11-06
  • 基金资助:
    国家自然科学基金项目(61602425,61472370,61502433,61602421,61672469,61402269,61472351);郑州轻工业大学博士科研项目 (2015BSJJ007);河南省科技攻关项目(182102311071)

A Semantic Model of Traffic Networks Supporting Dynamic Editing

  1. (School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou Henan 450000, China)
  • Online:2019-10-31 Published:2019-11-06

摘要: 针对现有交通路网语义建模方法不支持新增道路、道路加宽/变窄、潮汐车道设置、 道路连通性设置等路网交通属性动态编辑修改的问题,提出了一种支持动态编辑的交通路网语 义建模方法。通过分析路网内正常路段和交叉路口之间的耦合关系,给出了由传统 Lane、路口 Lane,Link,Connection,Intersection 以及 Road 等组成的具有层次耦合关系的路网语义数据。 只需输入道路中轴线数据,上述语义数据即可全部自动生成。路网交通属性动态编辑修改后, 只需对相应路段和相连路口语义进行解耦重新计算即可完成路网语义数据的动态更新。实验结 果表明,只需要输入道路中轴线矢量数据和道路宽度数据,该方法即可准确、高效地完成交通 路网语义建模,并且支持路网交通属性的动态编辑且可以实现交通相位的自动生成。

关键词: 交通仿真, 路网语义建模, 动态编辑, 层次语义结构

Abstract: Existing road network modeling methods do not allow users to edit and modify the semantic dataset, such as building a new road, widening and narrowing a road, changing direction of one lane, changing connectivity between lanes, creating reversible lanes and so on. To address the above problems, in this paper, we present a semantic model of traffic networks allowing dynamic editing. We first analyzed the coupling relationship between normal roads and intersections and then presented a hierarchical semantic dataset, which comprises traditional Lane, intersection Lane, Link, Connection, Intersection and Road. After users provide the data of road axis lines, all of the above semantic data can be generated automatically. After dynamic editing and modification of road network traffic attributes, the dynamic updating of semantic data can be completed by decoupling and recalculating the semantics of corresponding road sections and connected intersections. Experimental results show that our model can generate semantic data of road networks efficiently and accurately. It also allows dynamic editing of the semantic data and can generate traffic phase automatically.

Key words: traffic simulation, road networks&rsquo, modeling, dynamic editing, hierarchical semantic