摘要： 针对以往建模方法的不足，在移动对象时空(MOST)模型基础上结合离散建模的思想提出支持过去、现在、未来信息处理的全轨迹模型。MOST模型不能处理历史信息，可以在基于点的建模方法之上采用线性插值的思想来解决。它可以处理当前、短暂的未来信息，可采用速度预测方法处理较长未来信息。给出全轨迹模型上3种速度预测方法及2种位置更新策略的比较结果。

关键词: 全轨迹建模, 移动对象时空模型, 速度预测, 位置更新

Abstract: Because of the limitations of the previous modeling methods, this paper combines the ideas of the discrete modeling to propose the whole trajectory model, which is on the basis of the Moving Objects Spatio-Temporal(MOST) model and supports the past, present and future information processing. Adopting the linear interpolation of the point-based modeling method, the MOST model disposes the historical information. It can query the present and near future information. However, it adopts the efficiently predicted-speeds to dispose the further future information queryings. Experiment shows the comparison results of three predicted-speeds and two location update policies of the whole trajectory modeling.

Key words: whole trajectory modeling, Moving Objects Spatio-Temporal(MOST) model, speed prediction, location update

中图分类号: 

• TP311