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Traffic data stream aggregate query method and system

机译:交通数据流聚合查询方法及系统

摘要

A traffic data stream aggregate query method and system includes the steps of acquiring spatial-temporal information of a mobile object to generate a traffic data stream, dividing data space into cells, grouping adjacent cells with similar frequency into few buckets, calculating Kalman gains of the buckets based on frequencies of the buckets, and indexing the buckets using a binary partition tree to form a BPT index of the current timestamp, and serializing the BPT after the end of the current timestamp to form a historical index; and performing aggregate query, wherein an optimum estimation value of the bucket frequency is utilized to replace for calculating when the frequency of the bucket changes a lot. The system includes: an information collection module, a data processing module, an index processing module, an application service module and an index storage module.
机译:交通数据流集合查询方法和系统包括以下步骤:获取移动对象的时空信息以生成交通数据流,将数据空间划分为多个单元,将具有相似频率的相邻单元分组为几个桶,计算该单元的卡尔曼增益。基于桶的频率,对桶进行索引,并使用二进制分区树对桶进行索引以形成当前时间戳的BPT索引,并在当前时间戳结束后对BPT进行序列化以形成历史索引;进行汇总查询,其中,所述铲斗频率的最佳估计值用于代替计算铲斗频率变化的时间。该系统包括:信息收集模块,数据处理模块,索引处理模块,应用服务模块和索引存储模块。

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