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提出了在大城市路网环境下快速确定海量浮动车数据匹配路段的方法。首先构建路网道路缓冲区,再对道路缓冲区地图进行栅格化处理,并构建空间位置与道路ID的索引,然后基于每个浮动车数据中的地理位置信息依据索引找出浮动车数据可能的匹配道路,最后对这些道路进行匹配度计算,确定浮动车数据的匹配道路。实验表明,该方法能显著减少每个浮动车数据需要计算匹配度道路的数量,成倍地提高海量浮动车数据道路匹配算法的效率。
A method to quickly determine the matching sections of mass data of floating vehicles in the urban road network environment is proposed. First, construct the road network road buffer, rasterize the road buffer map and construct the index of spatial location and road ID, and then find the floating car data based on the index according to the geographical location information of each floating car data Of the matching roads, and finally calculate the matching degree of these roads and determine the matching roads of the floating car data. Experiments show that this method can significantly reduce the number of roads that need to be calculated for each floating car data and increase the efficiency of the road matching algorithm of floating car data.