摘要
为了实现短时且精确的路况预测,通常需要海量采集卫星导航轨迹点,这使得基于传统文件/数据库系统的地图匹配方法无法满足复杂的实时分析要求。针对以上问题,本文提出的地图匹配方法,充分利用了NoSQL数据库的大数据存储、分布式计算等特点来对海量轨迹点进行匹配和存储,并将该方法应用在对深圳市交管部门浮动车卫星导航数据的分析,结果证明该方法具有有效性和精确性。
In order to achieve short-term and accurate traffic prediction, usually requires a massive collection of satellite navigation trajectory, which prevent map-match method based on the traditional file/database system from meeting the real- time analysis of complex. In view of the above problem, this paper puts forward a new method of map-match, which makes full use of the large-data-storage and distributed-computing characteristics of the NoSQL database, to matching and storing mass trajectory points. And the method analysis navigation data from The traffic control department of Shenzhen, the results proved that the method is effective and accurate.
出处
《导航定位学报》
2015年第2期49-53,共5页
Journal of Navigation and Positioning