The characteristics of traffic sequence data based on complex network
To study the traffic flow characteristics,the traffic data is analyzed using a complex network method.A box plot-clustering algorithm model is proposed to identify and fill in missing values and outliers in the initial data.The one-dimensional data is reconstructed into network nodes using the phase space reconstruction method.Additionally,the connection threshold is selected to determine the connection relationship of network nodes to convert the traffic sequence data as a complex network and analyze the structure and quantitative indicators of the network.The result shows that the structure of the complex network of traffic data can reflect the traffic flow state of the road section to a certain extent.The research optimizes the data preprocessing method and extends the application of complex networks into traffic data research.
complex networksdata analysisnetwork building methodsphase space reconstructionclustering algorithm
万方数据
维普
