准确提取和及时更新路网信息，对于道路规划和车辆导航等方面至关重要。目前，基于GPS轨迹的路网提取方法一般是从浮动车或出租车的GPS轨迹中挖掘城市主干路网。然而，现有方法忽略了小路的自动提取，它对于抗震救灾、小区导航或乡村游览等场合非常重要。因此，本文提出基于步行GPS轨迹的路网提取方法，分为数据预处理、道路中心线生成和路网精度评价3个部分。其中，先后采用轨迹点聚类、聚类点分割和中心线拟合等方法生成道路中心线。通过自行采集的步行GPS数据进行实验，结果表明，本文方法能够准确提取路网，覆盖率可达96．21％，而误检率仅3．26％；并且能够提取小路和更新路网。%Accurately extracting and timely updating the information of road network is vital to road planning and vehicle naviga -tion.Currently, the road network’s extraction method for mining urban trunk roads , based on GPS trajectories, commonly uses floating car or taxi .However , the existing methods ignore the automatic extraction of pathway , which is very important for earth-quake relief , community navigation and village tour and other occasions .Therefore , this paper proposes a new method of road network extraction , based on walking GPS trajectories , which consists of three parts:data preprocessing , road centerline genera-tion and road network accuracy evaluation .In this paper , three methods are adopted to generate road centerlines successively , such as trajectories clustering , cluster center segmentation and centerline fitting .Making experiment with self-collected walking GPS data, the results show that the proposed method not only is able to accurately extract the road network , coverage rate can reach 96.21%while error detection rate was 3.26%, but also can extract pathway and update road network .
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