融合众源轨迹数据的户外徒步旅行导航路网地图构建  

Outdoor Hiking Navigation Road Network Map Construction Using Crowd-Source Trajectory Data

作　　者：唐建波[1,2] 夏何炎 彭举 胡致远 丁俊杰 张玉玉 TANG Jianbo;XIA Heyan;PENG Ju;HU Zhiyuan;DING Junjie;ZHANG Yuyu(School of Geosciences and Info-physics,Central South University,Changsha 410083,China;Hunan Geospatial Information Engineering and Technology Research Center,Changsha 410007,China)

机构地区：[1]中南大学地球科学与信息物理学院,长沙410083 [2]湖南省地理空间信息工程技术研究中心,长沙410007

出　　处：《地球信息科学学报》2025年第1期151-166,共16页Journal of Geo-information Science

基　　金：国家自然科学基金项目(42271462、42171441);国家重点研发计划项目(2022YFB3904203);湖南省自然科学基金项目(2022JJ30703)。

摘　　要：【目的】户外步行路网是导航地图的重要组成部分,也是户外活动路径规划的重要依据,对于户外旅行开发和事故救援等具有重要意义。然而,当前路网地图生成方法主要关注城市区域车行导航路网的构建与更新,对复杂户外环境下的徒步旅行导航路网地图构建研究较少,此外,现有方法多侧重于道路的二维几何形态信息提取,而对于路网真实三维几何和拓扑结构的重建研究还比较缺乏。【方法】鉴于此,本文提出一种融合众源轨迹数据的户外徒步旅行导航路网地图构建方法。该方法利用户外活动轨迹数据,通过路网生成层和高程提取层分别提取道路的二维几何拓扑形态和三维高程信息。在路网生成层,采取轨迹密度分层策略构建户外矢量二维路网;在高程提取层,对轨迹覆盖的区域进行高程估计与优化,生成高程格网栅格图,再将二维路网与高程格网进行高程匹配,生成户外三维徒步旅行导航路网。【结果】本文选取2021年来源于六只脚户外网站的1170条长沙岳麓山风景区的户外轨迹数据进行实验,构建的户外三维徒步旅行路网地图在二维空间定位上的平均偏移距离为4.201 m,高程估计的平均误差为7.656 m,结果表明,本文所提出的三维路网提取方法能适应旅行者户外轨迹数据噪声大、密度差异大等特点,生成质量较好的户外三维徒步旅行路网地图。【结论】相较于传统户外二维路网,本文方法构建的户外三维导航路网提供了更丰富和精确的地图信息,支持在复杂户外环境下的步行路径规划与导航应用服务。[Objectives]The outdoor pedestrian navigation road network is a vital component of maps and a crucial basis for outdoor activity route planning and navigation.It plays a significant role in promoting outdoor travel development and ensuring safety management.However,existing research on road network generation mainly focuses on the construction of urban vehicular navigation networks,with relatively less emphasis on hiking navigation road networks in complex outdoor environments.Moreover,existing methods primarily emphasize the extraction of two-dimensional geometric information of roads,while the reconstruction of real three-dimensional geometric and topological structures remains underdeveloped.[Methods]To address these limitations,this study proposes a method for constructing the three-dimensional outdoor pedestrian navigation road network maps using crowdsourced trajectory data.This approach leverages a road network generation layer and an elevation extraction layer to extract the two-dimensional structure and three-dimensional elevation information of the road network.In the road network generation layer,a trajectory density stratification strategy is adopted to construct the two-dimensional vector road network.In the elevation extraction layer,elevation estimation and optimization are performed to generate an elevation grid raster map,which is then matched with the two-dimensional road network to produce the three-dimensional hiking navigation road network.[Results]To demonstrate the effectiveness of the proposed approach,experiments were conducted using 1170 outdoor trajectories collected in 2021 from Yuelu Mountain Scenic Area in Changsha through an online outdoor website.The constructed outdoor three-dimensional hiking road network map achieved an average positional offset of 4.201 meters in two-dimensional space and an average elevation estimation error of 7.656 meters.The results demonstrate that the proposed method effectively handles outdoor trajectory data with high noise and varied trajectory density

关 键 词：三维步行路网 众源轨迹数据 路网生成 户外步行导航 旅行地图 三维导航服务 轨迹数据挖掘 高程匹配 

分 类 号：P208[天文地球—地图制图学与地理信息工程] U495[天文地球—测绘科学与技术] P285[交通运输工程—交通运输规划与管理]