Research On Modeling And Prevention And Control Strategies Of Epidemic Spreading Dynamics Driven By Traffic Flow

Spreading is a crucial dynamical process on complex networks,characterized by continuous replication,diffusion,and growth,which does not satisfy the principle of conservation of matter.In reality,the spread of epidemics is closely related to the traffic process.Infected individuals move from one place to another through various forms of traffic,so the epidemic breaks through geographical restrictions and spreads throughout the network system spread quickly.How to suppress the spread of epidemics driven by traffic flow is a hot issue in the spreading dynamics of complex network.In this thesis,by analyzing the spreading characteristics of epidemics,effective and reasonable prevention and control strategies are proposed for the traffic-driven epidemic spreading from the perspective of adjusting the network topology,routing,traffic limiting,and the attributes of epidemics themselves,so as to suppress the spread of epidemics.In addition,an improved traffic-driven SIR epidemic spreading model is constructed.(1)For the SI epidemic spreading driven by traffic flow,from the perspective of adjusting the network topology,strategies of link-closure are proposed to control the spread of the epidemic;from the perspective of adjusting the routing strategy,the impact of different routing strategies on the spread of the epidemic is introduced.In addition,the impact of the traffic limiting strategy and the attributes of the epidemic itself on the spread of the epidemic is also explored.(2)Based on the traffic-driven SIR epidemic spreading model,the influence of routing parameters of different routing strategies on the traffic-driven SIR epidemic spreading is studied,and the impact of multiple factors such as traffic flow,infection rate and cure rate on the spread of the epidemic is explored under the optimal routing parameters.(3)In order to more accurately indicate the time characteristics of the traffic-driven epidemic spread process,an improved traffic-driven SIR epidemic spreading dynamics model is established,in which new parameters are added to represent the change of the infection rate coefficient over time on the traffic-driven SIR epidemic spread model.On this basis,the influence of different link-closure rules,traffic flow,and network average degree on the improved traffic-driven SIR epidemic spreading is studied.