{"title":"A weight-based map matching method in moving objects databases","authors":"Huabei Yin, O. Wolfson","doi":"10.1109/SSDBM.2004.10","DOIUrl":null,"url":null,"abstract":"In location management, the trajectory represents the motion of a moving object in 3D space-time, i.e., a sequence (x, y, t). Unfortunately, location technologies, cannot guarantee error-freedom. Thus, map matching (a.k.a. snapping), matching a trajectory to the roads on the map, is necessary. We introduce a weight-based map matching method, and experimentally show that, for the offline situation, on average, our algorithm can get up to 94% correctness depending on the GPS sampling interval.","PeriodicalId":383615,"journal":{"name":"Proceedings. 16th International Conference on Scientific and Statistical Database Management, 2004.","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"143","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. 16th International Conference on Scientific and Statistical Database Management, 2004.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSDBM.2004.10","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 143
Abstract
In location management, the trajectory represents the motion of a moving object in 3D space-time, i.e., a sequence (x, y, t). Unfortunately, location technologies, cannot guarantee error-freedom. Thus, map matching (a.k.a. snapping), matching a trajectory to the roads on the map, is necessary. We introduce a weight-based map matching method, and experimentally show that, for the offline situation, on average, our algorithm can get up to 94% correctness depending on the GPS sampling interval.
在位置管理中,轨迹代表了一个运动物体在三维时空中的运动,即一个序列(x, y, t)。不幸的是,位置技术不能保证无误差。因此,地图匹配(又名捕捉),将轨迹匹配到地图上的道路,是必要的。我们引入了一种基于权重的地图匹配方法,实验表明,在离线情况下,我们的算法在依赖GPS采样间隔的情况下,平均准确率可达94%。