In terms of reducing traffic congestion, it should be understood that traffic dynamics depend on network structure. Most of complex networks in the real world can be represented by multi-layer and community structures, that is, the connections within the community are relatively close, and the connections between the community are relatively sparse. There are generally strong and weak community networks in community networks. In this work, the strong and weak community networks are used to construct two-layer network models of different scales, and then the influence of community structure on traffic capacity is analyzed. The simulation results show that when the two-layer network model is composed of two strong community networks, the traffic capacity is the largest, followed by the two-layer network model composed of two weak community networks, the traffic capacity is also relatively large. When the two subnetworks are of different community strength, the traffic capacity is relatively small.
