| 基于当前统计模型的地图匹配车辆跟踪研究 |
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| 引用本文： | 高晖,常青.基于当前统计模型的地图匹配车辆跟踪研究[J].中国公路学报,2006,19(2):95-100. |
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| 作者姓名： | 高晖 常青 |
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| 作者单位： | 1. 北京交通大学,交通运输学院,北京,100044
2. 北京航空航天大学,电子信息工程学院,北京,100083 |
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| 摘 要： | 为提高车辆跟踪系统的精度，减小差分全球定位系统（DGPS）的定位误差，通过分析行驶在城市道路上的车辆运动过程及其相应的运动模型，提出采用当前统计模型作为车辆运动模型。通过地图辅助位置择近和速度择角算法来修正卡尔曼滤波，为运行在道路上的车辆确定地图匹配估计。实际运行结果表明；整个车辆跟踪系统的精度有明显的提高。
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| 关 键 词： | 交通工程 道路网 卡尔曼滤波法 车辆跟踪系统 地图匹配 差分全球定位系统 |
| 文章编号： | 1001-7372（2006）02-0095-06 |
| 收稿时间： | 2005-09-28 |
| 修稿时间： | 2005-09-28 |
Study of Map Matching in Vehicle Tracking System Based on the Current Statistical Model |
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| GAO Hui,CHANG Qing.Study of Map Matching in Vehicle Tracking System Based on the Current Statistical Model[J].China Journal of Highway and Transport,2006,19(2):95-100. |
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| Authors: | GAO Hui CHANG Qing |
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| Institution: | 1, School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China; 2.School of Electronic and Information Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100083, China |
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| Abstract: | In order to improve precision of vehicle tracking system and reduce the position error of DGPS, authors first analyzed the motive process of vehicle on the road and its moving model. Then, the current statistical model was proposed as moving model of vehicles because in a city environment, vehicles were restricted to travel on its road. Authors proposed a map-aided algorithm of position nearly selected and velocity angularly selected to modify Kalman filtering. The result shows that the accuracy of the whole vehicle tracking system has obviously been increased. |
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| Keywords: | traffic engineering road network Kalman filtering method vehicle tracking system map matching DGPS |
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