结合POI数据的道路自动选取方法

人们对道路重要性的认知与道路周边设施有重要关系,针对现有地图综合道路选取方法中对语义特征考虑不足的问题,将POI数据引入到道路的语义特征分析中,提出一种综合考虑道路空间特征和语义特征的道路综合自动选取方法。首先,结合POI位置数据构造了道路语义特征度量的3个新参量：设施点密度、重要设施比率和专题设施比率;然后,与道路长度、连接值、总深度值、平均线密度等反映道路几何、拓扑和分布特征的度量参量一起,通过归一化和熵值法赋权进行整合计算,得到道路重要性值;最后,综合考虑道路重要性值、道路stroke构成和stroke连通度的约束条件进行道路的分步选取。实验结果表明,该方法在保留主要道路、保持道路分布疏密特征和道路连通性的同时,较好地顾及了道路的语义特征信息。

A Method for Automatic Road Selection Combined with POI Data

People's cognition of the importance of roads is closely related to the facilities around the road. Aiming at the problem of lack of semantic features in the existing study on automatic selection in road generalization, the POI data is introduced into the semantic feature analysis of the road. A method of road automatic selection considering road spatial and semantic feature is proposed. Firstly, three new parameters of the road semantic feature measure are constructed by combining the POI position data. Then, three new parameters are combined with other metric parameters such as connection values and average linear density to calculate the road importance values. Finally, the road importance values, the composition of road stroke and the stroke connectivity are regarded as the constraint condition of automatic selection. The road is selected step by step. The experimental results show that the proposed method takes into account the semantic features of the road while retaining the main road, maintaining the density of the road distribution and the connectivity of the road.