关键词: 交通工程, 城市路网, 关键节点识别, 空间流量度, 轨迹大数据

Abstract: Aiming at the identification and control of key nodes of urban road network, the traditional method lacked the consideration of the influence of multiple factors such as structure and flow and introduced too many weighted parameters, which was too subjective. Therefore, two new concepts such as the node spatial-flow degree and the network structural flow entropy were introduced to establish a directed weighted road network model. And the identification method of urban key nodes based on the spatial-flow degree was proposed. Taking the road network of the Fourth Ring Road in Beijing as an example, the road network degree distribution and speed distribution were calculated, and the effectiveness of different methods was compared. The research results show that the proposed method can simultaneously identify nodes with large traffic flow and important structure. Moreover, increasing α and decreasing β is beneficial for improving the network connectivity performance, however, it is not conducive to the balanced distribution of traffic. The proposed method and results can shed light on the urban traffic planning, design and management, which is of great significance to alleviate congestion and improve robustness.

Key words: traffic engineering, urban road network, identification of key nodes, spatial-flow degree, trajectory big data