| 基于车载GPS定位误差分布规律的地图匹配算法 |
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| 引用本文： | 常安德,王京,姜桂艳.基于车载GPS定位误差分布规律的地图匹配算法[J].北京理工大学学报,2016,36(S2):91-94. |
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| 作者姓名： | 常安德 王京 姜桂艳 |
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| 作者单位： | 中国刑事警察学院公安部痕迹检验鉴定技术重点实验室, 辽宁, 沈阳 110035,沈阳农业大学 工程学院, 辽宁, 沈阳 110866,宁波大学海运学院, 浙江, 宁波 315211;国家道路交通管理工程技术研究中心宁波大学分中心, 浙江, 宁波 315211 |
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| 基金项目： | 国家自然科学基金资助项目（51305041）；辽宁省自然科学基金资助项目（201602809）；国家公安部技术研究计划面上项目（2015JSYJC06）；辽宁省教育厅科学技术研究一般项目（L2015554） |
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| 摘 要： | 针对目前车载GPS定位信息地图匹配技术的主要缺陷，即GPS定位点的道路纵向位置修正效果较差，特别是对GPS独立定位的情况而言，修正精度很低，通过分析车载GPS定位误差的特点及其分布规律设计了一种地图匹配算法，重点提高车载GPS定位点在道路纵向的修正精度.采用长春市局部路网的地理信息为基础，采集车载GPS实测数据完成了算法的实证分析.结果表明，所提出的地图匹配算法应用效果理想，尤其是将车载GPS定位点的道路纵向位置修正精度提高了2.5 m以上，从而可满足车载GPS数据用户更高水平的信息需求.
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| 关 键 词： | 智能交通 地图匹配 分布规律 纵向修正 |
| 收稿时间： | 2016/10/30 0:00:00 |
Map Matching Algorithm Based on the Distribution of GPS Positioning Errors |
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| CHANG An-de,WANG Jing and JIANG Gui-yan.Map Matching Algorithm Based on the Distribution of GPS Positioning Errors[J].Journal of Beijing Institute of Technology(Natural Science Edition),2016,36(S2):91-94. |
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| Authors: | CHANG An-de WANG Jing and JIANG Gui-yan |
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| Institution: | Key Laboratory of Impression Evidence Examination and Identification Technology, National Police University of China, Shenyang, Liaoning 110035, China,College of Engineering, Shenyang Agricultural University, Shenyang, Liaoning 110866, China and Faculty of Maritime and Transportation, Ningbo University, Ningbo, Zhejiang 315211, China;National Traffic Management Engineering & Technology Research Centre Ningbo University Sub-Centre, Ningbo, Zhejiang 315211, China |
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| Abstract: | In order to remedy the main shortcomings of current map matching algorithms, that the effects of position correction along road for GPS positioning are poor, especially to the case of independent GPS positioning, a map matching algorithm was designed based on the characters and distribution rules of GPS positioning errors. The focus lied in improving position precision along road for GPS positioning. The algorithm was verified with measured GPS data based on part road network in Changchun, China. The results show that the effects of map matching algorithm are better than conventional algorithms, especially that the position correction precision along road for GPS positioning is improved by 2.5 m, which can meet the higher demand for GPS data users well. |
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| Keywords: | intelligent traffic map matching distribution regularity longitudinal correction |
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