以行驶在城市大街小巷的出租车GPS时空轨迹数据为研究对象,研究了符合"感知-认知-经验"认知规律3层次的轨迹融合与路网生成方法,提出了基于Delaunay三角网的时空轨迹融合模型,实现了从GPS时空轨迹中对符合认知规律需求的路网信息的获取,并以武汉市出租车GPS轨迹为试验,实现了对武汉市出租车时空轨迹的融合与武汉市路网数据的生成,证明了该方法的有效性。
The spatio-temporal trajectory of taxi GPS data in streets and small lanes of Wuhan city is taken as the experiment data source, based on the "perceptual-cognition-experience" three levels of cognitive law, a new approach for track fusion and road network generation is put forward from the GPS spatio-temporal trajectories. The experiment with the taxi GPS trajectory in Wuhan is done, and the results are shown us that the proposed method in this paper for the taxi trajectory fusion and road network generation is practicable.
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