In urban areas, GPS positioning is inaccurate due to multi-path errors caused by GPS satellite signals being blocked by buildings. GPS errors in different road segments can be further predicted by estimating the negative impact of the urban environment on GPS accuracy, and we refer to this impact as GPS environmental friendliness (GEF). In this chapter, we propose a method for processing and analysing a large amount of historical bus GPS trajectory data, combined with road context information, to estimate the GEF of urban roads. We take full advantage of the fixed characteristic of bus routes to improve the performance of map matching. The method estimates the GPS positioning error of each bus on the roads that are not covered by its route, by considering POI information, tag information of roads, and building layout information. Finally, we utilize a weighted estimation strategy to calculate the GEF of each road based on the GPS positioning performance of all buses. Based on the GPS trajectory data of buses collected from Chengdu, China, we estimate the GEF of 8831 different road segments and verify the rationality of the results by satellite maps, street views, and field tests.
GPS Environment Friendliness Estimation with Trajectory Data
Enabling Smart Urban Services with GPS Trajectory Data ; Kapitel : 8 ; 173-191
2021-04-02
19 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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