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针对离散Fréchet距离可以用于近似估计Fréchet距离且易于计算的特点,文章引入了离散Fréchet距离来判别轨迹曲线与路网路径的曲线间的距离,提出了一种基于离散Fréchet距离的全局地图匹配方法,并使用基于云模型的不确定性推理方法,实现全球定位系统(global positioning system,GPS)轨迹数据的全局地图匹配,并验证了该算法的有效性和实用性。
In view of the fact that the discrete Fréchet distance can be used to approximate the Fréchet distance and is easy to calculate, a discrete Fréchet distance is introduced to determine the distance between the trajectory and the curve of the road network. A global map matching method based on discrete Fréchet distance is proposed The global model matching of global positioning system (GPS) trajectory data is achieved by using cloud model based uncertainty inference method, and the validity and practicability of the algorithm are verified.