An evolution traffic network model considering the next-nearest neighbor

In this paper, an evolution traffic network model considering the influence of the next-nearest neighbor is constructed. Using the model, we focus on studying the topology of the evolution traffic network in order to understand the traffic dynamics better. First, the influence of the next-nearest neighbor on the cumulative degree distribution is investigated by altering the values of the sensitivity coefficients; then the influence of some important parameters (density, the maximum velocity, etc.) is also discussed; subsequently, we study the trend of the degree of the hub when the values of the parameters change; some hubs of the evolution network are given at last. In this model, the hub is denoted as the node whose ranking of the degree is at the top a fixed percentage. By studying the statistical properties of the traffic network, we can grasp the traffic dynamics so as to take the appropriate methods for the better traffic situations.