李清泉, 黄练, 谭文霞. 基于道路特征的海量GPS监控数据压缩方法[J]. 武汉大学学报 ( 信息科学版), 2008, 33(4): 337-340.
引用本文: 李清泉, 黄练, 谭文霞. 基于道路特征的海量GPS监控数据压缩方法[J]. 武汉大学学报 ( 信息科学版), 2008, 33(4): 337-340.
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LI Qingquan, HUANG Lian, TAN Wenxia. Mass GPS Tracking Data Compression Method Based on Road Features[J]. Geomatics and Information Science of Wuhan University, 2008, 33(4): 337-340.
Citation: LI Qingquan, HUANG Lian, TAN Wenxia. Mass GPS Tracking Data Compression Method Based on Road Features[J]. Geomatics and Information Science of Wuhan University, 2008, 33(4): 337-340.
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基于道路特征的海量GPS监控数据压缩方法

Mass GPS Tracking Data Compression Method Based on Road Features

    摘要
  • 摘要: 结合车辆的运动轨迹只能被限制于道路网络上的事实约束,提出了一种基于道路特征的车辆监控数据存储管理方法,存储车辆在道路网特征点处的信息,通过将原始数据中存储的二维地理坐标转换为存储一维的沿道路网的线性参照坐标实现了监控数据和道路网的结合,可极大地节省GPS车辆跟踪数据的存储空间,有利于对车辆数据的进一步分析利用和交通信息的提取。

     

    Abstract: A storage and management method for GPS tracking data based on road features is proposed,considering that the car trajectories are road network constrained.The storage space is significantly reduced when only the information of road feature points is recoded and the 2-D geographic coordinates are transformed to linear referencing tags.With the advantage of less data redundancy,the road network associated tracking data can better support the further analysis and traffic information abstraction.

     

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