基于大规模浮动车数据的城市道路网复杂度分析  

Analysis of Urban Road Network Complexity Based on Large-scale Floating Car Data

作　　者：何兆成[1] 庄立坚[1] 杨文臣[2] 佘锡伟[3] 

机构地区：[1]中山大学智能交通研究中心,广东广州510006 [2]同济大学交通运输工程学院,上海201804 [3]网易公司,广东广州510000

出　　处：《公路交通科技》2013年第6期120-126,共7页Journal of Highway and Transportation Research and Development

基　　金：广东省粤港关键领域重点突破项目(2011A011305002);广东省科技计划项目(2012B010900012)

摘　　要：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。In the light of the fact that the quantitative analysis in the application of floating car technology, the concept of of urban road network complexity is unexplored confidence point （CP） is introduced, and an analytical method of urban road network complexity based on large-scale floating car data is presented. On this basis, the CP distribution of each road section and the average matching distance of CPs are analyzed, and the urban road network complexity model is established. Combining with the floating car data pre- processing, the analysis complexity of the whole process of road network complexity is proposed. Taking Guangzhou for example, Guangzhou urban road network and 4 typical types urban road section are analyzed, and the specific path for map matching empirical study is specifically analyzed to indicate the complexity of each road section on the path and the main influencin~ factors.

关 键 词：交通工程 路网复杂度分析 置信点 浮动车数据 地图匹配 

分 类 号：U491.1[交通运输工程—交通运输规划与管理]