Resilience Analysis of Transportation System Based on Complex Network Theory

In order to ensure the important role of the transportation system in economic development, it is particularly important to evaluate the characteristics and resilience of the network. According to the complex network theory, the original mapping method is used to construct the complex network model, and the topological features node degree, average path length, clustering coefficient and intermediate are analyzed. The improved network efficiency and the maximum connectivity sub-graph size were selected as the resilience indicators, and the random attack and deliberate attack were used to simulate, and the changes of the resilience analysis index were calculated and compared, so as to complete the analysis of the resilience of the transportation system. The node degree, clustering coefficient and intermediate were selected as the evaluation indexes of key nodes, and the coefficient of variation method and TOPSIS algorithm were used to identify the key nodes, which were used as the basis for node selection in the simulation. Finally, taking Tianjin Shugang Highway as an example, an empirical analysis is carried out to verify the accuracy and applicability of the method.