地图匹配精度:使用智能手机进行节能位置采样

M. Alrefaie, Iacopo Carreras, F. Cartolano, Roberto Di Cello, F. Rango
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引用次数: 7

摘要

地图匹配是在数字地图上定位移动轨迹的每个点的过程。移动轨迹只不过是由纬度、经度和时间戳信息表征的点序列。地图匹配的难度取决于各种因素,如地图的精度,或轨迹点的采样率。在本文中,我们探讨了地图匹配中涉及的不同权衡,并分析了这些权衡在不同位置采样条件下的变化。在保证重构路径足够可靠的前提下,提出了一种有效调整用户位置采样方法的算法,以减少移动设备上的能量消耗。最后,我们在真实世界的数据上验证了所提出的方法,显示在各种移动条件下减少了23%的能量,同时保持了重建路径的高精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Map matching accuracy: Energy efficient location sampling using smartphones
Map matching is the process of positioning each point of a mobility trajectory on a digital map. A mobility trajectory is nothing more than a sequence of points characterized by latitude, longitude and timestamp information. The difficulty of map-matching depends on various factors such as the accuracy of maps, or the sampling rate of the points of the trajectory. In this paper, we explore the different tradeoffs involved in map-matching, and analyze how these vary under different location sampling conditions. We propose an algorithm to efficiently adapt the sampling method of the user location in order to reduce the energy consumption over the mobile device, while ensuring a sufficient reliability of the reconstructed path. Finally, we validate the proposed approach over real-world data, showing a 23% energy reduction in various mobility conditions, while maintaining a high accuracy of the reconstructed path.
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