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Accurate Real-Time Location Map Matching Algorithm for Large Scale Trajectory Data

机译:大规模轨迹数据的精确实时位置图匹配算法

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摘要

GPS tracking data is essential for sensor data sources. It plays an important role for various systems like Traffic assessment and Prediction, routing and navigation, Fleet management etc. Trajectory data accuracy is a key factor for sampling based vehicle movement using existing GPS alerting systems. GPS navigation process is not reliable because of weak signaling transmission, weather scenario, especially, tall buildings area and drass sectors in the Indian scenario. Map matching finding a path between available points on the active road's segments; enhance road data accuracy through minimizing frechet distance for future purpose. Therefore accurate road data, become necessary for fast map matching outcomes. This work provides to locate the frechet distance on available free space for accurate path finding. This work also contributes to measuring frechet distance, trajectory data error-estimation and finding free space surface on road network.
机译:GPS跟踪数据对于传感器数据源至关重要。它对交通评估和预测,路线和导航,车队管理等各种系统起着重要作用。轨迹数据的准确性是使用现有GPS警报系统进行基于采样的车辆运动的关键因素。由于信号传输较弱,天气状况特别是印度情景中的高层建筑区域和无人驾驶部门,GPS导航过程不可靠。地图匹配,可在活动道路的路段上找到可用点之间的路径;通过最大程度地减少Frechet距离以供将来使用,从而提高道路数据的准确性。因此,准确的道路数据对于快速地图匹配结果变得十分必要。这项工作提供了在可用的自由空间上定位frechet距离,以精确地找到路径。这项工作还有助于测量弗里克特距离,轨迹数据误差估计以及在道路网络上找到自由空间表面。

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