出行活动驱动的城市交通复杂网络演化模型研究

wealth of literature has shown significant effects on the relationship between the topology and the dynamics of various complex networks. And the discovery of “small-world” and “scale-free” properties, which is even viewed as ubiquity, has stimulated a great deal of interest in studying the underlying organizing principles of such complex networks. In this paper, a novel topological structure of traffic networks driven by activities is set up, where nodes represent intersections and edges represent routes. The present topological approach enables us to establish an evolving model of growing traffic networks in peak hour by a bi-level networks, incorporated travelers’ route choice behaviors. Finally, analytical discussion shows that scale-free networks can be obtained from the present model.