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A Progressive Buffering Method for Road Map Update Using OpenStreetMap Data

机译:使用OpenStreetMap数据进行道路地图更新的渐进缓冲方法

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Web 2.0 enables a two-way interaction between servers and clients. GPS receivers become available to more citizens and are commonly found in vehicles and smart phones, enabling individuals to record and share their trajectory data on the Internet and edit them online. OpenStreetMap (OSM) makes it possible for citizens to contribute to the acquisition of geographic information. This paper studies the use of OSM data to find newly mapped or built roads that do not exist in a reference road map and create its updated version. For this purpose, we propose a progressive buffering method for determining an optimal buffer radius to detect the new roads in the OSM data. In the next step, the detected new roads are merged into the reference road maps geometrically, topologically, and semantically. Experiments with OSM data and reference road maps over an area of 8494 km2 in the city of Wuhan, China and five of its 5 km × 5 km areas are conducted to demonstrate the feasibility and effectiveness of the method. It is shown that the OSM data can add 11.96% or a total of 2008.6 km of new roads to the reference road maps with an average precision of 96.49% and an average recall of 97.63%.
机译:Web 2.0支持服务器和客户端之间的双向交互。 GPS接收器可供更多市民使用,并且普遍存在于车辆和智能手机中,使个人可以在Internet上记录和共享其轨迹数据并在线进行编辑。 OpenStreetMap(OSM)使公民有可能为获取地理信息做出贡献。本文研究了OSM数据的使用,以查找参考路线图中不存在的新地图或新建道路,并创建其更新版本。为此,我们提出了一种渐进式缓冲方法,用于确定最佳缓冲半径以检测OSM数据中的新道路。在下一步中,将检测到的新道路在几何,拓扑和语义上合并为参考道路地图。在中国武汉市及其8个5 km×5 km地区中,对8494 km 2 区域的OSM数据和参考路线图进行了实验,以证明该方法的可行性和有效性。 。结果表明,OSM数据可以为参考路线图添加11.96%或总计2008.6 km的新道路,平均精度为96.49%,平均召回率为97.63%。

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