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• 专论：第18届中国虚拟现实大会暨第8届国际虚拟现实与可视化会议(ChinaVR & ICVRV 2018 青岛 ) • 上一篇    下一篇

面向智能交通系统的仿真路网快速建模方法

  

  1. 1. 华北电力大学控制与计算机工程学院，北京 102206；
    2. 中国科学院计算技术研究所，北京 100190
  • 出版日期:2019-06-30 发布日期:2019-08-02
  • 基金资助:
    国家重点研发计划项目(2016YFC0802500，2017YFC0804900)；装备预研重点基金科学基金项目(19140A15030115DZ08042)；国家自然科 学基金项目(61300131)

A Rapid Method of Road Network Modeling for  Intelligent Transportation Systems

  1. 1. School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China; 
    2. Institute of Computer Technology Chinese Academy of Sciences, Beijing 100190, China
  • Online:2019-06-30 Published:2019-08-02

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摘要： 提出了一种面向智能交通系统的仿真路网模型，与传统路网模型相比，增强了几 何表达和拓扑表达能力，同时其上可附着丰富的交通属性数据，能够满足精细化智能交通仿真 的需求。在此基础上，研究了一种路网数据迁移方法，从现有电子地图快速提取并构建面向智 能交通系统的道路路网。通过对几何精确性、拓扑完备性和建模高效性的测试表明，该路网模 型及其建模方法，提高了交通仿真基础路网建模的效率，降低了建模成本，为智能交通仿真的 广泛应用提供了高效、可靠的道路数据来源。

关键词: 智能交通系统, 路网建模, 电子地图, 数据迁移

Abstract: A simulation road network model for intelligent transportation system has been proposed. Compared with the traditional road network model, this model enhances the geometric expression and topological expression ability. At the same time, it can attach rich traffic attribute data to meet the refined needs of intelligent traffic simulation. On this basis, a road network data migration method is studied, which quickly extracts and constructs a road network for intelligent transportation systems from existing electronic maps. Tests on geometric accuracy, topological completeness and modeling efficiency show that the road network model and its modeling method improve the efficiency of traffic simulation basic road network modeling, reduce the modeling cost, and provide an efficient and reliable road data source for the wide application of intelligent traffic simulation.

Key words: intelligent transportation system, road network modeling, electronic map, data migration