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首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >An Improved Map-Matching Technique Based on the Fréchet Distance Approach for Pedestrian Navigation Services
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An Improved Map-Matching Technique Based on the Fréchet Distance Approach for Pedestrian Navigation Services

机译：基于Fréchet距离方法的行人导航服务改进的地图匹配技术

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Wearable and smartphone technology innovations have propelled the growth of Pedestrian Navigation Services (PNS). PNS need a map-matching process to project a user’s locations onto maps. Many map-matching techniques have been developed for vehicle navigation services. These techniques are inappropriate for PNS because pedestrians move, stop, and turn in different ways compared to vehicles. In addition, the base map data for pedestrians are more complicated than for vehicles. This article proposes a new map-matching method for locating Global Positioning System (GPS) trajectories of pedestrians onto road network datasets. The theory underlying this approach is based on the Fréchet distance, one of the measures of geometric similarity between two curves. The Fréchet distance approach can provide reasonable matching results because two linear trajectories are parameterized with the time variable. Then we improved the method to be adaptive to the positional error of the GPS signal. We used an adaptation coefficient to adjust the search range for every input signal, based on the assumption of auto-correlation between consecutive GPS points. To reduce errors in matching, the reliability index was evaluated in real time for each match. To test the proposed map-matching method, we applied it to GPS trajectories of pedestrians and the road network data. We then assessed the performance by comparing the results with reference datasets. Our proposed method performed better with test data when compared to a conventional map-matching technique for vehicles.
机译：可穿戴和智能手机技术的创新推动了行人导航服务（PNS）的增长。 PNS需要地图匹配过程，才能将用户的位置投影到地图上。已经为车辆导航服务开发了许多地图匹配技术。这些技术不适用于PNS，因为与车辆相比，行人以不同的方式移动，停止和转弯。另外，行人的底图数据比车辆的底图数据复杂。本文提出了一种新的地图匹配方法，用于将行人的全球定位系统（GPS）轨迹定位到道路网络数据集上。该方法所基于的理论基于Fréchet距离，它是两条曲线之间的几何相似度的一种度量。 Fréchet距离方法可以提供合理的匹配结果，因为使用时间变量对两个线性轨迹进行了参数化。然后，我们改进了该方法以适应GPS信号的位置误差。基于连续GPS点之间的自相关假设，我们使用了自适应系数来调整每个输入信号的搜索范围。为了减少匹配中的错误，实时评估了每个匹配的可靠性指标。为了测试提出的地图匹配方法，我们将其应用于行人的GPS轨迹和路网数据。然后，我们通过将结果与参考数据集进行比较来评估性能。与传统的车辆地图匹配技术相比，我们提出的方法在测试数据上表现更好。

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