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However, because of the complexity and diversity of its structure, the complex traffic network is vulnerable to be attacked and faces serious security challenges. Therefore, this paper innovatively proposes a traffic network resilience recovery method based on resilience trend forecasting. In this paper, the risk value is introduced into the analysis of network fault propagation process, and the Susceptible, Infectious, Recovered, Dead\u2010Risk (SIRD\u2010R) fault propagation model is established. The resilience model of traffic network, which encompasses real\u2010time resilience and overall resilience, is constructed through the integration of network resilience bearing capacity and resilience recovery capacity. Then, the resilience of complex traffic network is forecasted by using long short\u2010term memory network, and the resilience recovery strategy of complex traffic network based on forecasting is proposed. 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