Road Extraction Based on Taxi Trajectory Data

doi:10.13474/j.cnki.11-2246.2018.0209

Abstract

Abstract: Relative to high frequency GPS trajectory data,low frequency GPS trajectory data has the advantages of large amount of data,easy access,low cost and so on.For this reason,a method of road information extraction based on a large number of low frequency trajectory data is proposed.The road image method with mathematical morphology and refinement method for rasterizing extraction line and cross road center port,then the Douglas-Peucker algorithm of intersection between the sections of simplification and smoothing,finally get the road information.Among them,the method of multi-resolution image fusion is used to extract the intersection as much as possible.Experiments show that this method in a certain extent overcome interval is not fixed,low positioning accuracy,noise and uneven distribution of defects of low frequency data sampling trajectory data,extract the road intersection and the center line more accurate.

Key words: trajectory data, mathematical morphology, multi-resolution image fusion, road intersection, Douglas-Peucker

CLC Number:

P208

HU Han, XIANG Longgang, WANG Dehao. Road Extraction Based on Taxi Trajectory Data[J]. 测绘通报, 2018, 0(7): 53-57.

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