  How to enhance the communication efficiency and quality on vehicular networks
is one critical important issue. While with the larger and larger scale of
vehicular networks in dense cities, the real-world datasets show that the
vehicular networks essentially belong to the complex network model. Meanwhile,
the extensive research on complex networks has shown that the complex network
theory can both provide an accurate network illustration model and further make
great contributions to the network design, optimization and management. In this
paper, we start with analyzing characteristics of a taxi GPS dataset and then
establishing the vehicular-to-infrastructure, vehicle-to-vehicle and the hybrid
communication model, respectively. Moreover, we propose a clustering algorithm
for station selection, a traffic allocation optimization model and an
information source selection model based on the communication performances and
complex network theory.
