Discovering Corridors From GPS Trajectories

Nikolaos Zygouras, D. Gunopulos
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引用次数: 5

Abstract

The increasing pervasiveness of GPS-enabled devices results in the collection of massive trajectories datasets. The vast amount of the generated location data is particularly difficult to be processed, interpreted and analyzed, due to its complexity. Nevertheless, in many cases a considerable number of moving objects share common paths and their whole trajectory can be decomposed as a sequence of such commonly accessed paths, referred as corridors. In this paper we formulate the problem of corridor discovery using GPS data that represent user trajectories. We initiate research for developing an algorithm to solve this problem efficiently and we present initial experimental results that demonstrate our approach.
从GPS轨迹中发现走廊
gps设备的日益普及导致了大量轨迹数据集的收集。由于其复杂性,产生的大量位置数据尤其难以处理、解释和分析。然而,在许多情况下,相当数量的运动物体共享公共路径,它们的整个轨迹可以分解为这些共同访问路径的序列,称为走廊。在本文中,我们使用代表用户轨迹的GPS数据来制定走廊发现问题。我们开始研究开发一种算法来有效地解决这个问题,我们提出了初步的实验结果,证明了我们的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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