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《Journal of Highway and Transportation Research and Development》 2010-03
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Huge Volume Floating Car Data Express Processing Based on Vector Road Map Rasterization

LI Yuguang,LI Qingquan (State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,Wuhan Hubei 430079,China)  
A method for quickly extracting road traveling speeds from huge number of floating car data was proposed based on vector road map rasterization.The key component of the method is to convert vector road data to raster data based on buffer and attributes of road sections.The width of a road buffer was constructed based on a distance confidence region by taking into account the position errors of floating car data and width of road.Then all roads buffer were converted to raster map,in which pixel position corresponds to geographical position,and grey scale of pixel value represents attributes of vector road such as hierarchy,name,number or direction.After that,huge volume of floating car data and road network raster map was overlapped.Hence not only accurate coordinate transformation parameters between floating car data and urban road map can be easily calculated,but also road networks and special roads traveling speed can be quickly extracted.Finally,the feasibility and effectiveness of this method were examined by comparing with traditional floating car data process algorithms using more than 10 millions of real floating car data of Wuhan City.
【Fund】: 国家自然科学基金资助项目(40830530 60872132)
【CateGory Index】: U491
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