| 出租车GPS轨迹集聚和精细化路网提取 |
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| 引用本文： | 邬群勇,吴祖飞,张良盼.出租车GPS轨迹集聚和精细化路网提取[J].测绘学报,2019,48(4):502-511. |
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| 作者姓名： | 邬群勇 吴祖飞 张良盼 |
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| 作者单位： | 福州大学空间数据挖掘与信息共享教育部重点实验室,福建 福州 350002;卫星空间信息技术综合应用国家地方联合工程研究中心,福建福州 350002;福建省空间信息工程研究中心,福 建福州 350002;福州大学空间数据挖掘与信息共享教育部重点实验室,福建 福州 350002;卫星空间信息技术综合应用国家地方联合工程研究中心,福建福州 350002;福建省空间信息工程研究中心,福 建福州 350002;福州大学空间数据挖掘与信息共享教育部重点实验室,福建 福州 350002;卫星空间信息技术综合应用国家地方联合工程研究中心,福建福州 350002;福建省空间信息工程研究中心,福 建福州 350002 |
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| 基金项目： | 国家自然科学基金（41471333）；中央引导地方科技发展专项（2017L3012）；福建省自然科学基金（2016JD1198） |
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| 摘 要： | 针对利用GPS数据提取双向路网和交叉路口转向信息精度低的不足,本文提出一种顾及位置与行驶方向的轨迹集聚和精细化路网提取方法,实现了精细化路网提取。为提高交叉路口路网的提取精度,首先剔除原始轨迹中的离散和异常轨迹点,并按一定的步长对轨迹段进行加密;然后引入行驶方向角来表达车辆在轨迹点处的行驶方向,顾及位置和行驶方向获取每个轨迹点的相似轨迹点集合;接着依次计算每个轨迹点的偏移距离,通过对轨迹点的迭代偏移完成轨迹集聚;最后剔除未成功集聚的轨迹点,将完成集聚的轨迹点连成轨迹线并作缓冲区,运用栅格数据数字化方法提取得到能够反映道路精细转向关系的道路网。以福州市出租车GPS数据进行轨迹集聚和路网提取试验,结果表明:本文方法能有效地将GPS轨迹按车辆行驶方向分别进行集聚,提取的道路网为双向道路并且能反映交叉路口处道路的精细转向关系。
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| 关 键 词： | 出租车GPS轨迹 轨迹集聚 双向路网 精细路网 路网提取 |
| 收稿时间： | 2018-06-07 |
| 修稿时间： | 2018-11-21 |
GPS trajectory agglomeration and refined road network extraction |
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| WU Qunyong,WU Zufei,ZHANG Liangpan.GPS trajectory agglomeration and refined road network extraction[J].Acta Geodaetica et Cartographica Sinica,2019,48(4):502-511. |
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| Authors: | WU Qunyong WU Zufei ZHANG Liangpan |
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| Institution: | 1. Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education, Fuzhou 350002, China;2. National & Local Joint Engineering Research Center of Satellite Geospatial Information Technology, Fuzhou 350002, China;3. Spatial information Research Center of Fujian Province, Fuzhou 350002, China |
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| Abstract: | Aiming at the shortcomings of low-accuracy in the use of GPS data to extract bidirection a roads and intersections, this paper proposes a trajectory agglomeration and refined roads extraction method that takes into account the position and travel direction to extracts refined road network. First,we remove the discrete and abnormal trajectory points from the original trajectory and insert the trajectory points into the trajectory segments by a certain step size, in order to improve the extraction accuracy of the intersection network.Second,we introduce the driving direction angle to express the driving direction of the vehicle at the track point, obtain its similar trajectory points set by considering the position and direction of the track point, calculate the offset distance of each track point in turn, and complete the track aggregation by iteratively offsetting the track points.Finally, we eliminate the track points that have not been successfully gathered, and use the Grid digitization method to extract the road network that can reflect the fine steering relationship of the roads from the trajectory data after gather. The trajectory agglomeration and road network extraction experiments were carried out with GPS data of Fuzhou taxis. The experimental results show that this method can effectively gather the GPS trajectories according to the direction of vehicle travel and the extracted road network is bidirectional roads, and can finely reflect the steering relationship of the roads at the intersections. |
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| Keywords: | GPS trajectory trajectory agglomeration bidirectional roads refined roads roads extraction |
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