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Inscribe the Exigency of Map Matching Performance for Curve Navigation on Road/Highways

机译:在道路/高速公路上题列曲线导航曲线匹配性能的概要

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GPS tracking data is essential for sensor data sources. It plays an important role in various systems like traffic assessment and prediction, routing and navigation, fleet management etc. The accuracy of data is an important issue, phenomena of sampling based vehicle movement with the existing GPS alerting systems. GPS navigation is not reliable because of two errors such as sources and continuous produce trajectory data.map matching algorithm finding a path between the points on the road network (graph) that minimizes frechet distance from a trajectory database. Therefore accurate data related to road network become essential for fast map matching algorithm. This work provides a technique to locate the frechet distance for path finding in available free space using adaptive map matching algorithm. We also adopt Dijkstra's path searching method with adaptive clipping for enhancing map matching process. This work also contribute to measuring frechet distance, map matching task, error estimation in trajectory data for reducing search space using adaptive clipping map matching algorithm for fast mapping process.
机译:GPS跟踪数据对于传感器数据源至关重要。它在各种系统中起着重要作用,如交通评估和预测,路由和导航,舰队管理等。数据的准确性是一个重要的问题,基于对现有GPS警报系统的采样的车辆运动现象。 GPS导航不可靠,因为诸如源和连续产生轨迹Data.map匹配算法的诸如道路网络(图表)上的点之间的路径,这些算法最小化了从轨迹数据库最小化的路径。因此,与道路网络相关的准确数据对快速地图匹配算法成为必不可少的数据。这项工作提供了一种使用自适应映射匹配算法找到用于在可用的可用空间中找到的路径查找的方法。我们还采用Dijkstra的路径搜索方法,具有自适应剪辑,用于增强地图匹配过程。这项工作还有助于测量Freechet距离,Map匹配任务,轨迹数据中的误差估计,用于使用自适应剪辑映射匹配算法来减少搜索空间以进行快速映射过程。

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