邓敏, 陈雪莹, 唐建波, 刘慧敏, 何晋强. 一种顾及道路交通流量语义信息的路网选取方法[J]. 武汉大学学报 ( 信息科学版), 2020, 45(9): 1438-1447. DOI: 10.13203/j.whugis20180053
引用本文: 邓敏, 陈雪莹, 唐建波, 刘慧敏, 何晋强. 一种顾及道路交通流量语义信息的路网选取方法[J]. 武汉大学学报 ( 信息科学版), 2020, 45(9): 1438-1447. DOI: 10.13203/j.whugis20180053
DENG Min, CHEN Xueying, TANG Jianbo, LIU Huimin, HE Jinqiang. A Method for Road Network Selection Considering the Traffic Flow Semantic Information[J]. Geomatics and Information Science of Wuhan University, 2020, 45(9): 1438-1447. DOI: 10.13203/j.whugis20180053
Citation: DENG Min, CHEN Xueying, TANG Jianbo, LIU Huimin, HE Jinqiang. A Method for Road Network Selection Considering the Traffic Flow Semantic Information[J]. Geomatics and Information Science of Wuhan University, 2020, 45(9): 1438-1447. DOI: 10.13203/j.whugis20180053

一种顾及道路交通流量语义信息的路网选取方法

A Method for Road Network Selection Considering the Traffic Flow Semantic Information

  • 摘要: 交通流量是反映城市道路重要性以及城市道路在交通运输中发挥现实作用的重要指标。结合人类出行轨迹数据和路网数据,在充分考虑道路的几何特征(即长度、拓扑连接、分布密度、接近中心性和中介中心性)、属性特征(即道路等级)的基础上,进一步考虑道路长周期的周平均交通量这一衡量道路重要性的语义特征指标,提出了一种顾及道路交通流量语义信息的路网选取方法。首先,根据格式塔准则的连续性和方向一致性构建道路选取的基元——stroke单元;在此基础上,统计这些stroke单元的几何特征、属性特征指标,并结合移动轨迹数据计算各stroke单元的周平均日交通量作为道路选取的语义特征指标。然后,探测不同特征指标的熵值变化以确定不同道路选取指标的权重,并定义道路重要性评价的综合指标,对城市路网进行综合选取。最后,采用武汉市路网数据和出租车轨迹数据对该方法进行验证。实验表明,该方法能够保持原始路网的连通性和整体路网骨架,同时选取结果能够刻画出发挥重要职能的路段,反映人们的出行规律特征。此外,该方法可以发现道路网中设计等级较高但是实际中使用率却很低的路段,可为道路网的评价与规划等应用提供参考。

     

    Abstract: Road traffic flow is an important feature to measure the importance of the road. Based on the GPS trajectory data and road network data, this paper proposed a novel method for the selection of road network considering both the commonly used geometric features (i.e. length, topological connection, distribution density, closeness and betweenness) and the sematic information—long-term week average traffic flow of the roads. Firstly, in order to ensure the continuity of the road network at small scale, the strokes of the original road network are obtained by using the continuity and direction constraints of Gestalt laws. Then, the geometric features and the traffic flow information of each strokes are computed. Further, a global measure is defined based on the geometric features and traffic flow information, and the weights between the length, topological connection, distribution density, closeness, betweenness and traffic flow are determined using the modified entropy-weight method. Finally, the proposed method of this paper is verified by using Wuhan road network data and taxi GPS trajectory data. The experimental results show that the proposed method can maintain the connectivity of the original road network and tend to select the important roads that are consistent with the human perception. On the other hand, this method can be used to discover the roads that are designed as high-level roads but in contrary rarely used in reality for applications such as urban road network planning and reconstruction.

     

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