一种移动对象数据库的自适应更新方法

Adaptive Solution for Updating Moving Object Database

更新频率的选择是移动对象数据库领域的一个难题.基于局部线性化思想,给出移动对象的常速率及常加速度-常角速度动态模型.接着,模糊逻辑定量化方法被用于描述移动对象的状态及推算误差.综合考虑推算距离误差、速度变化、时间间隔等多种因素,一个"或"门计算单元被用以判断是否需要更新.利用地图匹配的计算结果,根据道路的特征,提出自适应选择动态模型的方法.最后,用跑车实验验证了所述算法性能.本算法高度可配置,能够在自适应选择更新频率的情况下,较忠实记录移动对象状态信息.

When to update control center is a key problem in the field of moving object database.Based on the idea of short-term linearization,constant-velocity and constant-acceleration-constant-angular-velocity models are presented to describe moving objects.Then,quantitative fuzzy description method is used to tell the state of a moving object.Kinds of factors such as deduction position error,speed change,time duration,are considered,an ＂OR＂ arithmetic logic computing unit is used to decide whether to update current state to center control unit.By using map-matching result,according to road shape,an adaptive method to select object dynamic model is given.Finally,tests are done in Nanjing to verify the performance of the solution.By using adaptive dynamic model and quantitative fuzzy description,the algorithm can decrease the overall update frequency,and at the same time faithfully keep object state information in database.