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针对现有浮动车技术应用研究中缺乏道路网络复杂度的定量分析,引入置信点的概念,提出了一种基于大规模浮动车数据的城市路网复杂度分析方法。利用该方法统计了路网中各路段的置信点分布情况和置信点的平均匹配距离,建立了城市路网复杂度模型。结合浮动车数据的预处理,提出了城市路网复杂度的分析流程。以广州市为例,分析了广州市全局路网和4类典型城市道路代表路段的复杂度。对于地图匹配算法实证研究中的指定路径,具体分析了其各组成路段的复杂度及其主要影响因素。
Aiming at the lack of quantitative analysis of road network complexity in the application of existing floating vehicle technology, the concept of confidence point is introduced and a method of urban road network complexity analysis based on large-scale floating vehicle data is proposed. Using this method, the distribution of confidence points and the average matching distance of confidence points are calculated, and the complexity model of urban road network is established. Combined with the preprocessing of floating car data, the paper presents the analysis process of the complexity of urban road network. Taking Guangzhou as an example, this paper analyzes the complexity of the road network in Guangzhou and the road sections in four typical cities. For the specified path in the empirical study of map matching algorithm, the complexity of each component link and its main influencing factors are analyzed in detail.