For the precise prevention of traffic operation risks and the rationalization of emergency plans during large-scale activities, a traffic operation risks assessment method of large-scale activities based on fuzzy Bayesian network was proposed. Based on the establishment of a large-scale activities traffic operation risks indicator system, a fuzzy Bayesian network topology map structure based on the Interpretive Structural Modeling (ISM) was constructed, and the number, state and conditional probability of fuzzy Bayesian network nodes were quantified. Finally, take the opening ceremony of a major winter sports event at the National Stadium as a case, the traffic operation risks were analyzed to use Netica's reasoning analysis and control variable method function, and the changes of large-scale activities traffic operation risks under different adverse conditions were studied. The results indicate that the traffic accident risk value is 2.412, the traffic delay risk value is 2.942, and the traffic operation risk value is 2.635.

CICTP