In a pursuit to develop strategies to amplify the resilience of freeway networks， this paper introduces an evaluation method of road resilience based on the combined weighting-cloud model. First， four topological structure indicators were selected， namely structure entropy， edge betweenness， freeway network density，and clustering coefficient， as well as two traffic status indicators： the travel time index and the traffic heterogeneity index. The resilience of the freeway network was comprehensively evaluated based on the topological structure and traffic status indicators. Then， the resilience of the freeway network was graded， the boundary values of evaluation indicators at different resilience levels were determined， and the characteristic values and certainty of the cloud parameters were estimated based on the backward cloud generator. Afterward， the indicators were weighted by combining the analytic hierarchy process and the entropy method. The membership degrees of different resilience levels were determined by calculating the weighted average， and the resilience level of the freeway network was detected according to the maximum membership degree. Finally， a case study was made for a freeway network to compare the combined weighting-cloud model method proposed in this study with the comprehensive fuzzy method. It is indicated from the research that the evaluation results of the two methods are similar. In contrast， the combined weighting-cloud model method reflects the actual status of the freeway network more objectively because it is free from the defect of randomness， which is included in the latter method.