Studying a matching method combining distance proximity and buffer constraints

• Autores: Fengling Yang
• Localización: Applied Mathematics and Nonlinear Sciences, ISSN-e 2444-8656, Vol. 8, Nº. 1, 2023, págs. 2459-2466
• Idioma: inglés
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• Resumen

  • In order to achieve fast matching of global navigation satellite system (GNSS) track data and vector road network data,a rough-to-fine matching method combining distance proximity and buffer constraints is studied. The GNSS track datais preprocessed: A rasterisation method is used to eliminate the low-quality track data and obtain the binary graph; then,the road centrelines are obtained by a skeleton extraction method; the thinning data is converted into line segments orclosed lines starting from nodes by the boundary tracking method, which is stored in the vector form. Finally, the boundarytracking method is used to convert the thinning data into closed lines and store them in the vector form. A two-layerrough-to-fine matching strategy is applied: First, the changing state of the road arc is determined according to the roughmatching strategy of road segment distance. Next, according to the buffer constraint criterion, a rectangular or circularbuffer is selected to achieve precise matching of road network data. The results show that the proposed method has goodmatching effect, which is especially suitable for working with more GNSS track data