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The promotion / demotion algorithm of moving objects with large velocity differences in time-parameterized spatio-temporal index

机译:时间参数时空索引中具有较大速度差异的运动对象的提升/降级算法

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摘要

Overlapping costs increase due to a difference in speed of moving objects, ranging from low-speed submarines to high-speed airplanes in the time-parameterized spatio-temporal index. This paper proposes a new method for promoting fast moving objects to upper non-leaf nodes to minimize overlap when the speed difference between objects in the index is considerably large. Experimental evaluation on datasets of moving objects with large speed differences demonstrates that the performance of insertion and deletion is improved. Our results show that the performance of the prediction query with speed parameters is improved by 75.8% as compared to previous approaches.
机译:由于在时间参数化的时空指数中从低速潜艇到高速飞机的移动物体的速度差异,重叠成本增加。本文提出了一种新的方法,当索引中对象之间的速度差异很大时,该方法可以将快速移动的对象提升到上层非叶子节点,以最大程度地减少重叠。对速度差异较大的运动对象的数据集进行的实验评估表明,插入和删除的性能得到了改善。我们的结果表明,与以前的方法相比,带有速度参数的预测查询的性能提高了75.8%。

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