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A pedestrian-oriented map matching algorithm for map information sharing systems in disaster areas

机译：灾区地图信息共享系统的行人导向地图匹配算法

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摘要

In this paper, we propose a pedestrian-oriented map matching algorithm for tracking moving trajectories of pedestrians. Our algorithm is designed for a map information sharing system among refugees in disaster areas. In this situation, refugees have mobile terminals with GPS devices and move to shelters at walking speed. Thus, our algorithm has to be suitable for battery-driven mobile terminals. In order to reduce battery consumption, our algorithm is based on a geometric curve-to-curve matching approach in which computation resources are less required in comparison with other complicated approaches such as probabilistic map matching, statistical map matching and so on. Furthermore, in order to deal with matching errors, our algorithm has following features: initial matching point selection, candidate road segments selection and incremental matching method. We conduct experiments with real time sequence data captured by GPS. Experimental results shows that our proposed algorithm can achieve the best result in comparison with the other conventional geometric map matching methods.
机译：本文提出了一种行人导向的地图匹配算法，用于跟踪行人的运动轨迹。我们的算法专为灾区难民之间的地图信息共享系统而设计。在这种情况下，难民拥有带有GPS设备的移动终端，并以步行速度移到避难所。因此，我们的算法必须适合电池驱动的移动终端。为了减少电池消耗，我们的算法基于几何曲线到曲线的匹配方法，与其他复杂方法（如概率图匹配，统计图匹配等）相比，该算法需要较少的计算资源。此外，为了处理匹配误差，我们的算法具有以下特征：初始匹配点选择，候选路段选择和增量匹配方法。我们使用GPS捕获的实时序列数据进行实验。实验结果表明，与其他常规几何图匹配方法相比，本文提出的算法可以达到最佳效果。

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