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定位及移动通信的发展使我们可以获取和传输车辆在道路网络上的轨迹信息。除实现定位或导航等基本功能外,从车辆轨迹数据中还可以提取大量的交通信息,成为交通规划和管理的一个重要的信息来源。通过建立轨迹数据与道路网络之间的拓扑关系,提取轨迹数据中能代表主要信息的特征点来代替大量的轨迹数据,以达到减少轨迹数据量的目的。特征点通过一个综合了网络关系、速度币口方向的筛选方法进行提取,该方法也同时有利于建立轨迹数据检索结构和定义查询语言,系统的实验和分析验证了所提出方法的有效性。
Positioning and mobile communications have enabled us to capture and transmit vehicle trajectory information on the road network. In addition to the basic functions such as positioning or navigation, a large amount of traffic information can be extracted from vehicle trajectory data, becoming an important source of information for traffic planning and management. By establishing the topological relationship between the trajectory data and the road network, the feature points in the trajectory data that can represent the main information are extracted instead of a large amount of trajectory data to achieve the purpose of reducing the amount of trajectory data. The feature points are extracted through a screening method that combines the network relations and the direction of the speed coin currency. The method also facilitates the establishment of the trajectory data retrieval structure and the definition of the query language. The system experiments and analyzes verify the effectiveness of the proposed method.