Simulation analysis on urban traffic congestion propagation based on complex network

With the rapid development of economy, the number of vehicles grows, and traffic congestion occurs widely. Improving the condition of traffic congestion is urgent. The aim of this paper was to analyze the relationship between links and explore how they influence congestion propagation. Based on the existing Cell Transmission Model (CTM) theory, we had a lot of simulation under various circumstances through the program, in which the Average Journey Velocity (AJV) is selected as a measurement of the degree of link congestion. We established Link State Graph which is a directed network graph regarding links as nodes to observe the relationship between links. At last, we concluded how the location and adjacent links of a link can influence congestion propagation with the Link State Graph.